Job Description Job Description Overview Configuration Manager WORK LOCATION: Hanscom AFB, MA (In Office/On Base 3 days a week) SALARY RANGE: $115,000 - $135,000 depending on experience, certifications, and qualifications JOB STATUS: Full-time; salaried SECURITY CLEARANCE: MUST have an active Secret security clearance Astrion has an exciting opportunity for a Configuration Manager to support the Survivable Airborne Operations Center (SAOC) Division at Hanscom AFB, MA. The SAOC program is a Major Defense Acquisition Program tasked with leading the development and delivery of the replacement fleet for the E-4B National Airborne Operations (NAOC). Responsibilities Responsible for maintaining technical baselines, especially software baselines, of USAF systems in accordance with Dept of Defense and USAF guidance. Design, develop, and establish configuration management documentation based on prescribed standards, program requirements, and conventional best practices. Prepare documentation for, coordinate, and lead Configuration Control Boards. Conduct closeout actions and archive all CM documentation. Report CCB status to leadership. Assist in preparing and reviewing program/project documentation, e.g. Requests for Proposals (RFPs), Statement Of Objectives (SOOs), Statements-of-Work (SOWs), Performance Works Statements (PWS), System/Technical Requirements Documents (SRD/TRD), Contract Data Requirements Lists (CDRL), AF Form 1067s, etc. and assist in source selections for systems. Review and update CM plans periodically in accordance with USAF guidance. Develop process, then maintain and standardize technical performance matrices to include capturing update steps, configuration control considerations, and approval process. Develop process documents. Maintain configuration control of assessments developed by the technical team. Qualifications Experience on Dept of Defense or Air Force acquisition programs is highly desired. Experience with Configuration Management tools. Demonstrated characteristics of a self-starter who is able to work independently and effectively interact with program team members and senior leadership.
09/23/2026
Full time
Job Description Job Description Overview Configuration Manager WORK LOCATION: Hanscom AFB, MA (In Office/On Base 3 days a week) SALARY RANGE: $115,000 - $135,000 depending on experience, certifications, and qualifications JOB STATUS: Full-time; salaried SECURITY CLEARANCE: MUST have an active Secret security clearance Astrion has an exciting opportunity for a Configuration Manager to support the Survivable Airborne Operations Center (SAOC) Division at Hanscom AFB, MA. The SAOC program is a Major Defense Acquisition Program tasked with leading the development and delivery of the replacement fleet for the E-4B National Airborne Operations (NAOC). Responsibilities Responsible for maintaining technical baselines, especially software baselines, of USAF systems in accordance with Dept of Defense and USAF guidance. Design, develop, and establish configuration management documentation based on prescribed standards, program requirements, and conventional best practices. Prepare documentation for, coordinate, and lead Configuration Control Boards. Conduct closeout actions and archive all CM documentation. Report CCB status to leadership. Assist in preparing and reviewing program/project documentation, e.g. Requests for Proposals (RFPs), Statement Of Objectives (SOOs), Statements-of-Work (SOWs), Performance Works Statements (PWS), System/Technical Requirements Documents (SRD/TRD), Contract Data Requirements Lists (CDRL), AF Form 1067s, etc. and assist in source selections for systems. Review and update CM plans periodically in accordance with USAF guidance. Develop process, then maintain and standardize technical performance matrices to include capturing update steps, configuration control considerations, and approval process. Develop process documents. Maintain configuration control of assessments developed by the technical team. Qualifications Experience on Dept of Defense or Air Force acquisition programs is highly desired. Experience with Configuration Management tools. Demonstrated characteristics of a self-starter who is able to work independently and effectively interact with program team members and senior leadership.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo is solving one of the most complex challenges in autonomous driving: understanding the dynamic, unspoken rules of the road. The Scene Understanding team is at the forefront of this mission, tasked with generating real-time, scene-level semantic representations of the world - moving beyond individual bounding boxes to understand construction zones, temporary traffic controls, and complex road graphs. As a TLM for Scene Understanding, you will act as a true "player-coach" for a team of roughly 6-10 engineers. This is a high impact role, where your models will directly dictate how the Waymo Driver reacts to complex, unstructured environments like active construction zones and temporary traffic signs. This work is critical to Waymo's ability to scale into new cities, across the US and internationally. In this hybrid role you will report to a Sr Staff Technical Lead Manager. You will: Own a specific domain within scene understanding, such as traffic controls or construction zones, and work with product and safety partners on short- and long-term improvements in support of Waymo's scaling goals Lead the analysis of real-world scene understanding issues to develop technical roadmaps and drive the roadmap execution, Build resilient and high performing teams through people development and hiring, Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects. You have: Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience 7+ years of experience building and deploying deep learning/computer vision models in production environments, ideally within the AV or robotics space 2-3+ years of experience directly managing and scaling engineering/research teams (managing 5+ reports) Fluency in Python, C++, and deep learning frameworks (PyTorch, JAX) We prefer: MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline Publications at top-tier conferences like CVPR, ICCV, ECCV, NeurIPS,. Experience with C++ Experience with real-time system design The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000-$310,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo is solving one of the most complex challenges in autonomous driving: understanding the dynamic, unspoken rules of the road. The Scene Understanding team is at the forefront of this mission, tasked with generating real-time, scene-level semantic representations of the world - moving beyond individual bounding boxes to understand construction zones, temporary traffic controls, and complex road graphs. As a TLM for Scene Understanding, you will act as a true "player-coach" for a team of roughly 6-10 engineers. This is a high impact role, where your models will directly dictate how the Waymo Driver reacts to complex, unstructured environments like active construction zones and temporary traffic signs. This work is critical to Waymo's ability to scale into new cities, across the US and internationally. In this hybrid role you will report to a Sr Staff Technical Lead Manager. You will: Own a specific domain within scene understanding, such as traffic controls or construction zones, and work with product and safety partners on short- and long-term improvements in support of Waymo's scaling goals Lead the analysis of real-world scene understanding issues to develop technical roadmaps and drive the roadmap execution, Build resilient and high performing teams through people development and hiring, Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects. You have: Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience 7+ years of experience building and deploying deep learning/computer vision models in production environments, ideally within the AV or robotics space 2-3+ years of experience directly managing and scaling engineering/research teams (managing 5+ reports) Fluency in Python, C++, and deep learning frameworks (PyTorch, JAX) We prefer: MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline Publications at top-tier conferences like CVPR, ICCV, ECCV, NeurIPS,. Experience with C++ Experience with real-time system design The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000-$310,000 USD
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo is solving one of the most complex challenges in autonomous driving: understanding the dynamic, unspoken rules of the road. The Scene Understanding team is at the forefront of this mission, tasked with generating real-time, scene-level semantic representations of the world - moving beyond individual bounding boxes to understand construction zones, temporary traffic controls, and complex road graphs. As a TLM for Scene Understanding, you will act as a true "player-coach" for a team of roughly 6-10 engineers. This is a high impact role, where your models will directly dictate how the Waymo Driver reacts to complex, unstructured environments like active construction zones and temporary traffic signs. This work is critical to Waymo's ability to scale into new cities, across the US and internationally. In this hybrid role you will report to a Sr Staff Technical Lead Manager. You will: Own a specific domain within scene understanding, such as traffic controls or construction zones, and work with product and safety partners on short- and long-term improvements in support of Waymo's scaling goals Lead the analysis of real-world scene understanding issues to develop technical roadmaps and drive the roadmap execution, Build resilient and high performing teams through people development and hiring, Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects. You have: Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience 7+ years of experience building and deploying deep learning/computer vision models in production environments, ideally within the AV or robotics space 2-3+ years of experience directly managing and scaling engineering/research teams (managing 5+ reports) Fluency in Python, C++, and deep learning frameworks (PyTorch, JAX) We prefer: MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline Publications at top-tier conferences like CVPR, ICCV, ECCV, NeurIPS,. Experience with C++ Experience with real-time system design The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000-$310,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo is solving one of the most complex challenges in autonomous driving: understanding the dynamic, unspoken rules of the road. The Scene Understanding team is at the forefront of this mission, tasked with generating real-time, scene-level semantic representations of the world - moving beyond individual bounding boxes to understand construction zones, temporary traffic controls, and complex road graphs. As a TLM for Scene Understanding, you will act as a true "player-coach" for a team of roughly 6-10 engineers. This is a high impact role, where your models will directly dictate how the Waymo Driver reacts to complex, unstructured environments like active construction zones and temporary traffic signs. This work is critical to Waymo's ability to scale into new cities, across the US and internationally. In this hybrid role you will report to a Sr Staff Technical Lead Manager. You will: Own a specific domain within scene understanding, such as traffic controls or construction zones, and work with product and safety partners on short- and long-term improvements in support of Waymo's scaling goals Lead the analysis of real-world scene understanding issues to develop technical roadmaps and drive the roadmap execution, Build resilient and high performing teams through people development and hiring, Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects. You have: Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience 7+ years of experience building and deploying deep learning/computer vision models in production environments, ideally within the AV or robotics space 2-3+ years of experience directly managing and scaling engineering/research teams (managing 5+ reports) Fluency in Python, C++, and deep learning frameworks (PyTorch, JAX) We prefer: MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline Publications at top-tier conferences like CVPR, ICCV, ECCV, NeurIPS,. Experience with C++ Experience with real-time system design The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000-$310,000 USD
Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work. Job Title: OCM Program Manager - Business Modernization Program Reporting To: GVP - Finance Work Schedule: Onsite - Buffalo, NY The OCM Modernization Program Manager is responsible for leading organizational change management activities associated with the implementation and rollout of the ERP/SAP system across the enterprise. This role owns the enterprise OCM strategy and execution, ensuring sustained adoption, business readiness, and value realization across a multi year, phased S/4 implementation. Grounded in modernization best practices, this role positions change management as a core value driver-deliberately addressing the human factors that ultimately determine modernization success. The OCM Program Manager will partner closely with Executive Sponsors, Business Champions, Business Data Leads, IT, and Program Managers to embed disciplined, measurable change practices across all phases of the program lifecycle with minimal disruptions. Key Responsibilities OCM Strategy, Governance & Value Realization Define, govern and execute the end-to-end OCM strategy for the modernization, aligned with overall program objectives and milestones. Develop integrated OCM milestones, measures and decision gates into the modernization program governance. Assess organizational change impacts and identify risks, resistance points, and mitigation strategies. Ensure consistency of change approaches across all SAP workstreams and deployment waves. Establish clear definitions of success and adoption of metrics aligned to business outcomes, not activity completion. Team Leadership & Capability Development Lead, mentor, and manage a team of OCM specialists, including change analysts, communications leads, training leads, and change champions. Set clear goals, priorities, and performance expectations for OCM resources. Ensure workload alignment across the team and effective integration with SAP program workstreams. Build internal change capability and standardize OCM tools, templates, and best practices. Coordinate and manage external change management consultants as needed. Stakeholder Engagement & Leadership Alignment Identify impacted stakeholder groups and create targeted engagement plans. Partner with executive sponsors, senior leaders, and line managers to build visible sponsorship and accountability. Coach leaders and people managers on their role in driving SAP adoption and reinforcing new ways of working. Equip leaders and people managers to actively lead change, reinforce adoption and address resistance. Facilitate workshops as applicable. Communications Develop and deliver a comprehensive SAP change communication strategy, including key messages, timing, channels, and audiences. Rebuild confidence following prior ERP efforts through transparency, creditability and leadership alignment. Create and oversee delivery of communication materials (emails, presentations, intranet content, FAQs, roadmaps). Ensure messaging is clear, consistent, and tailored to different stakeholder groups. Coordinate communications with program management, SAP SteerCo team, and other corporate and operating group stakeholders to ensure messaging is appropriately tailored. Training & Enablement Define and govern the training strategy for SAP end users, including role-based learning paths. Partner with L&D as well as functional teams to help design, develop, and deploy training materials. Ensure training aligns with business processes, system configuration, and go-live readiness. Measure trainings by proficiency, adoption and time-to-productivity. Support super-user and change champion networks to enable peer-to-peer adoption. Adoption, Readiness & Sustainment Define and track adoption metrics, readiness indicators, and change KPIs. Conduct organizational readiness assessments and coordinate corrective actions in real time. Maintain a portfolio-level view of enterprise change initiatives to minimize change saturation and collisions. Support go-live and post-go-live stabilization, including hyper-care support. Develop sustainment plans to reinforce adoption and embed changes into standard operating procedures. Program Integration Act as a core member of the SAP program team, working closely with: Project/Program Management Business Champions Business Data Leads IT Technical Leads System Integrators Ensure OCM deliverables are integrated into the overall SAP program plan. Required Qualifications Bachelor's degree in Business, Human Resources, Organizational Development, Information Systems, or a related field. 8-12+ years of experience in Organizational Change Management, preferably supporting large ERP or SAP implementations. Direct experience leading OCM for an ERP rollout (S/4HANA preferred). Strong understanding of change management methodologies (e.g., Prosci ADKAR, Kotter). Proven ability to influence leaders and stakeholders at all levels. Exceptional communication, facilitation, and presentation skills. Experience working in complex, matrixed organizations. Preferred Qualifications Prosci or equivalent Change Management certification. Experience with multi-site, global, or phased SAP deployments. Background in manufacturing, aerospace, supply chain, finance, or regulated environments. Key Competencies Strategic thinker with strong execution skills Strong leadership presence and credibility High emotional intelligence and stakeholder empathy Ability to manage ambiguity and change at pace Results-oriented with a focus on adoption and outcomes How We Care For You: Financial Rewards: great compensation package, bonus opportunities, matching 401k, and the ability to participate in Employee Stock Purchase Plan (select locations), Flexible Spending and Health Savings Accounts Work/Life Balance: Flexible paid time off, holidays and parental leave program, relocation assistance. Health & Welfare: Comprehensive insurance coverage including medical, dental, vision, life, disability, Employee Assistance Plan ("EAP") and other supplemental benefit coverages. Professional Skills Development: Tuition Assistance, mentorship and coaching opportunities, leadership development and other personal growth programs Culture: Warm, respectful, family-like environment driven by our 12 core values. Multiple Employee Resource Groups led by our employees, open and welcoming to all. Salary Range Transparency: Buffalo, NY $125,000.00-$170,000.00 Annually Salary Range Disclaimer The base salary range represents the low and high end of the Moog salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Moog's total compensation package for employees. Other rewards may include annual bonuses, employee stock purchase plan, an open paid time off policy, and many region-specific benefits. This position requires access to U.S. export-controlled information. Moog offers an inclusive workplace, and, as such, affirms the right of every person to participate in all aspects of employment based on merit without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. If you are interested in applying for employment and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department via phone at . No unsolicited agency submittals please. Agency partners must be invited to participate in a search by our Talent Acquisition Team and have signed terms in place prior to any submittal. Absent compliance with these pre-conditions resumes submitted directly to any Moog Inc. employee or affiliate will not qualify for fee payment, and therefore become the property of Moog Inc.
09/23/2026
Full time
Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work. Job Title: OCM Program Manager - Business Modernization Program Reporting To: GVP - Finance Work Schedule: Onsite - Buffalo, NY The OCM Modernization Program Manager is responsible for leading organizational change management activities associated with the implementation and rollout of the ERP/SAP system across the enterprise. This role owns the enterprise OCM strategy and execution, ensuring sustained adoption, business readiness, and value realization across a multi year, phased S/4 implementation. Grounded in modernization best practices, this role positions change management as a core value driver-deliberately addressing the human factors that ultimately determine modernization success. The OCM Program Manager will partner closely with Executive Sponsors, Business Champions, Business Data Leads, IT, and Program Managers to embed disciplined, measurable change practices across all phases of the program lifecycle with minimal disruptions. Key Responsibilities OCM Strategy, Governance & Value Realization Define, govern and execute the end-to-end OCM strategy for the modernization, aligned with overall program objectives and milestones. Develop integrated OCM milestones, measures and decision gates into the modernization program governance. Assess organizational change impacts and identify risks, resistance points, and mitigation strategies. Ensure consistency of change approaches across all SAP workstreams and deployment waves. Establish clear definitions of success and adoption of metrics aligned to business outcomes, not activity completion. Team Leadership & Capability Development Lead, mentor, and manage a team of OCM specialists, including change analysts, communications leads, training leads, and change champions. Set clear goals, priorities, and performance expectations for OCM resources. Ensure workload alignment across the team and effective integration with SAP program workstreams. Build internal change capability and standardize OCM tools, templates, and best practices. Coordinate and manage external change management consultants as needed. Stakeholder Engagement & Leadership Alignment Identify impacted stakeholder groups and create targeted engagement plans. Partner with executive sponsors, senior leaders, and line managers to build visible sponsorship and accountability. Coach leaders and people managers on their role in driving SAP adoption and reinforcing new ways of working. Equip leaders and people managers to actively lead change, reinforce adoption and address resistance. Facilitate workshops as applicable. Communications Develop and deliver a comprehensive SAP change communication strategy, including key messages, timing, channels, and audiences. Rebuild confidence following prior ERP efforts through transparency, creditability and leadership alignment. Create and oversee delivery of communication materials (emails, presentations, intranet content, FAQs, roadmaps). Ensure messaging is clear, consistent, and tailored to different stakeholder groups. Coordinate communications with program management, SAP SteerCo team, and other corporate and operating group stakeholders to ensure messaging is appropriately tailored. Training & Enablement Define and govern the training strategy for SAP end users, including role-based learning paths. Partner with L&D as well as functional teams to help design, develop, and deploy training materials. Ensure training aligns with business processes, system configuration, and go-live readiness. Measure trainings by proficiency, adoption and time-to-productivity. Support super-user and change champion networks to enable peer-to-peer adoption. Adoption, Readiness & Sustainment Define and track adoption metrics, readiness indicators, and change KPIs. Conduct organizational readiness assessments and coordinate corrective actions in real time. Maintain a portfolio-level view of enterprise change initiatives to minimize change saturation and collisions. Support go-live and post-go-live stabilization, including hyper-care support. Develop sustainment plans to reinforce adoption and embed changes into standard operating procedures. Program Integration Act as a core member of the SAP program team, working closely with: Project/Program Management Business Champions Business Data Leads IT Technical Leads System Integrators Ensure OCM deliverables are integrated into the overall SAP program plan. Required Qualifications Bachelor's degree in Business, Human Resources, Organizational Development, Information Systems, or a related field. 8-12+ years of experience in Organizational Change Management, preferably supporting large ERP or SAP implementations. Direct experience leading OCM for an ERP rollout (S/4HANA preferred). Strong understanding of change management methodologies (e.g., Prosci ADKAR, Kotter). Proven ability to influence leaders and stakeholders at all levels. Exceptional communication, facilitation, and presentation skills. Experience working in complex, matrixed organizations. Preferred Qualifications Prosci or equivalent Change Management certification. Experience with multi-site, global, or phased SAP deployments. Background in manufacturing, aerospace, supply chain, finance, or regulated environments. Key Competencies Strategic thinker with strong execution skills Strong leadership presence and credibility High emotional intelligence and stakeholder empathy Ability to manage ambiguity and change at pace Results-oriented with a focus on adoption and outcomes How We Care For You: Financial Rewards: great compensation package, bonus opportunities, matching 401k, and the ability to participate in Employee Stock Purchase Plan (select locations), Flexible Spending and Health Savings Accounts Work/Life Balance: Flexible paid time off, holidays and parental leave program, relocation assistance. Health & Welfare: Comprehensive insurance coverage including medical, dental, vision, life, disability, Employee Assistance Plan ("EAP") and other supplemental benefit coverages. Professional Skills Development: Tuition Assistance, mentorship and coaching opportunities, leadership development and other personal growth programs Culture: Warm, respectful, family-like environment driven by our 12 core values. Multiple Employee Resource Groups led by our employees, open and welcoming to all. Salary Range Transparency: Buffalo, NY $125,000.00-$170,000.00 Annually Salary Range Disclaimer The base salary range represents the low and high end of the Moog salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Moog's total compensation package for employees. Other rewards may include annual bonuses, employee stock purchase plan, an open paid time off policy, and many region-specific benefits. This position requires access to U.S. export-controlled information. Moog offers an inclusive workplace, and, as such, affirms the right of every person to participate in all aspects of employment based on merit without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. If you are interested in applying for employment and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department via phone at . No unsolicited agency submittals please. Agency partners must be invited to participate in a search by our Talent Acquisition Team and have signed terms in place prior to any submittal. Absent compliance with these pre-conditions resumes submitted directly to any Moog Inc. employee or affiliate will not qualify for fee payment, and therefore become the property of Moog Inc.
Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work. Job Title: OCM Program Manager - Business Modernization Program Reporting To: GVP - Finance Work Schedule: Onsite - Buffalo, NY The OCM Modernization Program Manager is responsible for leading organizational change management activities associated with the implementation and rollout of the ERP/SAP system across the enterprise. This role owns the enterprise OCM strategy and execution, ensuring sustained adoption, business readiness, and value realization across a multi year, phased S/4 implementation. Grounded in modernization best practices, this role positions change management as a core value driver-deliberately addressing the human factors that ultimately determine modernization success. The OCM Program Manager will partner closely with Executive Sponsors, Business Champions, Business Data Leads, IT, and Program Managers to embed disciplined, measurable change practices across all phases of the program lifecycle with minimal disruptions. Key Responsibilities OCM Strategy, Governance & Value Realization Define, govern and execute the end-to-end OCM strategy for the modernization, aligned with overall program objectives and milestones. Develop integrated OCM milestones, measures and decision gates into the modernization program governance. Assess organizational change impacts and identify risks, resistance points, and mitigation strategies. Ensure consistency of change approaches across all SAP workstreams and deployment waves. Establish clear definitions of success and adoption of metrics aligned to business outcomes, not activity completion. Team Leadership & Capability Development Lead, mentor, and manage a team of OCM specialists, including change analysts, communications leads, training leads, and change champions. Set clear goals, priorities, and performance expectations for OCM resources. Ensure workload alignment across the team and effective integration with SAP program workstreams. Build internal change capability and standardize OCM tools, templates, and best practices. Coordinate and manage external change management consultants as needed. Stakeholder Engagement & Leadership Alignment Identify impacted stakeholder groups and create targeted engagement plans. Partner with executive sponsors, senior leaders, and line managers to build visible sponsorship and accountability. Coach leaders and people managers on their role in driving SAP adoption and reinforcing new ways of working. Equip leaders and people managers to actively lead change, reinforce adoption and address resistance. Facilitate workshops as applicable. Communications Develop and deliver a comprehensive SAP change communication strategy, including key messages, timing, channels, and audiences. Rebuild confidence following prior ERP efforts through transparency, creditability and leadership alignment. Create and oversee delivery of communication materials (emails, presentations, intranet content, FAQs, roadmaps). Ensure messaging is clear, consistent, and tailored to different stakeholder groups. Coordinate communications with program management, SAP SteerCo team, and other corporate and operating group stakeholders to ensure messaging is appropriately tailored. Training & Enablement Define and govern the training strategy for SAP end users, including role-based learning paths. Partner with L&D as well as functional teams to help design, develop, and deploy training materials. Ensure training aligns with business processes, system configuration, and go-live readiness. Measure trainings by proficiency, adoption and time-to-productivity. Support super-user and change champion networks to enable peer-to-peer adoption. Adoption, Readiness & Sustainment Define and track adoption metrics, readiness indicators, and change KPIs. Conduct organizational readiness assessments and coordinate corrective actions in real time. Maintain a portfolio-level view of enterprise change initiatives to minimize change saturation and collisions. Support go-live and post-go-live stabilization, including hyper-care support. Develop sustainment plans to reinforce adoption and embed changes into standard operating procedures. Program Integration Act as a core member of the SAP program team, working closely with: Project/Program Management Business Champions Business Data Leads IT Technical Leads System Integrators Ensure OCM deliverables are integrated into the overall SAP program plan. Required Qualifications Bachelor's degree in Business, Human Resources, Organizational Development, Information Systems, or a related field. 8-12+ years of experience in Organizational Change Management, preferably supporting large ERP or SAP implementations. Direct experience leading OCM for an ERP rollout (S/4HANA preferred). Strong understanding of change management methodologies (e.g., Prosci ADKAR, Kotter). Proven ability to influence leaders and stakeholders at all levels. Exceptional communication, facilitation, and presentation skills. Experience working in complex, matrixed organizations. Preferred Qualifications Prosci or equivalent Change Management certification. Experience with multi-site, global, or phased SAP deployments. Background in manufacturing, aerospace, supply chain, finance, or regulated environments. Key Competencies Strategic thinker with strong execution skills Strong leadership presence and credibility High emotional intelligence and stakeholder empathy Ability to manage ambiguity and change at pace Results-oriented with a focus on adoption and outcomes How We Care For You: Financial Rewards: great compensation package, bonus opportunities, matching 401k, and the ability to participate in Employee Stock Purchase Plan (select locations), Flexible Spending and Health Savings Accounts Work/Life Balance: Flexible paid time off, holidays and parental leave program, relocation assistance. Health & Welfare: Comprehensive insurance coverage including medical, dental, vision, life, disability, Employee Assistance Plan ("EAP") and other supplemental benefit coverages. Professional Skills Development: Tuition Assistance, mentorship and coaching opportunities, leadership development and other personal growth programs Culture: Warm, respectful, family-like environment driven by our 12 core values. Multiple Employee Resource Groups led by our employees, open and welcoming to all. Salary Range Transparency: Buffalo, NY $125,000.00-$170,000.00 Annually Salary Range Disclaimer The base salary range represents the low and high end of the Moog salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Moog's total compensation package for employees. Other rewards may include annual bonuses, employee stock purchase plan, an open paid time off policy, and many region-specific benefits. This position requires access to U.S. export-controlled information. Moog offers an inclusive workplace, and, as such, affirms the right of every person to participate in all aspects of employment based on merit without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. If you are interested in applying for employment and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department via phone at . No unsolicited agency submittals please. Agency partners must be invited to participate in a search by our Talent Acquisition Team and have signed terms in place prior to any submittal. Absent compliance with these pre-conditions resumes submitted directly to any Moog Inc. employee or affiliate will not qualify for fee payment, and therefore become the property of Moog Inc.
09/23/2026
Full time
Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work. Job Title: OCM Program Manager - Business Modernization Program Reporting To: GVP - Finance Work Schedule: Onsite - Buffalo, NY The OCM Modernization Program Manager is responsible for leading organizational change management activities associated with the implementation and rollout of the ERP/SAP system across the enterprise. This role owns the enterprise OCM strategy and execution, ensuring sustained adoption, business readiness, and value realization across a multi year, phased S/4 implementation. Grounded in modernization best practices, this role positions change management as a core value driver-deliberately addressing the human factors that ultimately determine modernization success. The OCM Program Manager will partner closely with Executive Sponsors, Business Champions, Business Data Leads, IT, and Program Managers to embed disciplined, measurable change practices across all phases of the program lifecycle with minimal disruptions. Key Responsibilities OCM Strategy, Governance & Value Realization Define, govern and execute the end-to-end OCM strategy for the modernization, aligned with overall program objectives and milestones. Develop integrated OCM milestones, measures and decision gates into the modernization program governance. Assess organizational change impacts and identify risks, resistance points, and mitigation strategies. Ensure consistency of change approaches across all SAP workstreams and deployment waves. Establish clear definitions of success and adoption of metrics aligned to business outcomes, not activity completion. Team Leadership & Capability Development Lead, mentor, and manage a team of OCM specialists, including change analysts, communications leads, training leads, and change champions. Set clear goals, priorities, and performance expectations for OCM resources. Ensure workload alignment across the team and effective integration with SAP program workstreams. Build internal change capability and standardize OCM tools, templates, and best practices. Coordinate and manage external change management consultants as needed. Stakeholder Engagement & Leadership Alignment Identify impacted stakeholder groups and create targeted engagement plans. Partner with executive sponsors, senior leaders, and line managers to build visible sponsorship and accountability. Coach leaders and people managers on their role in driving SAP adoption and reinforcing new ways of working. Equip leaders and people managers to actively lead change, reinforce adoption and address resistance. Facilitate workshops as applicable. Communications Develop and deliver a comprehensive SAP change communication strategy, including key messages, timing, channels, and audiences. Rebuild confidence following prior ERP efforts through transparency, creditability and leadership alignment. Create and oversee delivery of communication materials (emails, presentations, intranet content, FAQs, roadmaps). Ensure messaging is clear, consistent, and tailored to different stakeholder groups. Coordinate communications with program management, SAP SteerCo team, and other corporate and operating group stakeholders to ensure messaging is appropriately tailored. Training & Enablement Define and govern the training strategy for SAP end users, including role-based learning paths. Partner with L&D as well as functional teams to help design, develop, and deploy training materials. Ensure training aligns with business processes, system configuration, and go-live readiness. Measure trainings by proficiency, adoption and time-to-productivity. Support super-user and change champion networks to enable peer-to-peer adoption. Adoption, Readiness & Sustainment Define and track adoption metrics, readiness indicators, and change KPIs. Conduct organizational readiness assessments and coordinate corrective actions in real time. Maintain a portfolio-level view of enterprise change initiatives to minimize change saturation and collisions. Support go-live and post-go-live stabilization, including hyper-care support. Develop sustainment plans to reinforce adoption and embed changes into standard operating procedures. Program Integration Act as a core member of the SAP program team, working closely with: Project/Program Management Business Champions Business Data Leads IT Technical Leads System Integrators Ensure OCM deliverables are integrated into the overall SAP program plan. Required Qualifications Bachelor's degree in Business, Human Resources, Organizational Development, Information Systems, or a related field. 8-12+ years of experience in Organizational Change Management, preferably supporting large ERP or SAP implementations. Direct experience leading OCM for an ERP rollout (S/4HANA preferred). Strong understanding of change management methodologies (e.g., Prosci ADKAR, Kotter). Proven ability to influence leaders and stakeholders at all levels. Exceptional communication, facilitation, and presentation skills. Experience working in complex, matrixed organizations. Preferred Qualifications Prosci or equivalent Change Management certification. Experience with multi-site, global, or phased SAP deployments. Background in manufacturing, aerospace, supply chain, finance, or regulated environments. Key Competencies Strategic thinker with strong execution skills Strong leadership presence and credibility High emotional intelligence and stakeholder empathy Ability to manage ambiguity and change at pace Results-oriented with a focus on adoption and outcomes How We Care For You: Financial Rewards: great compensation package, bonus opportunities, matching 401k, and the ability to participate in Employee Stock Purchase Plan (select locations), Flexible Spending and Health Savings Accounts Work/Life Balance: Flexible paid time off, holidays and parental leave program, relocation assistance. Health & Welfare: Comprehensive insurance coverage including medical, dental, vision, life, disability, Employee Assistance Plan ("EAP") and other supplemental benefit coverages. Professional Skills Development: Tuition Assistance, mentorship and coaching opportunities, leadership development and other personal growth programs Culture: Warm, respectful, family-like environment driven by our 12 core values. Multiple Employee Resource Groups led by our employees, open and welcoming to all. Salary Range Transparency: Buffalo, NY $125,000.00-$170,000.00 Annually Salary Range Disclaimer The base salary range represents the low and high end of the Moog salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Moog's total compensation package for employees. Other rewards may include annual bonuses, employee stock purchase plan, an open paid time off policy, and many region-specific benefits. This position requires access to U.S. export-controlled information. Moog offers an inclusive workplace, and, as such, affirms the right of every person to participate in all aspects of employment based on merit without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. If you are interested in applying for employment and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department via phone at . No unsolicited agency submittals please. Agency partners must be invited to participate in a search by our Talent Acquisition Team and have signed terms in place prior to any submittal. Absent compliance with these pre-conditions resumes submitted directly to any Moog Inc. employee or affiliate will not qualify for fee payment, and therefore become the property of Moog Inc.
At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role: As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform. You will be deeply involved in the end-to-end development and operationalization of ML models, including their architecture, training, deployment, and ongoing maintenance. Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. You will be expected to tackle complex technical challenges, contribute to architectural decisions, and collaborate closely with other engineers, data scientists, and product managers to ensure that your work aligns with business goals and AI/ML strategy. Your contributions will help unlock unique value for PitchBook customers by improving the speed, discoverability, quality, and quantity of insights available on the platform. This includes developing models that can infer meaning and structure from millions of discrete data sources, and applying ML to enrich our datasets with predictive and generative intelligence. As a senior engineer, you will take ownership of key technical components and ensure that our systems meet the highest standards of performance, reliability, and security. Primary Job Responsibilities: Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards Support a culture of technical excellence by mentoring peers, sharing knowledge, and participating in code and design reviews. Promote innovation and continuous improvement through collaborative engineering practices Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook's AI capabilities Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles Support the vision and values of the company through role modeling and encouraging desired behaviors Participate in various company initiatives and projects as requested Basic Qualifications: Bachelor's in Computer Science, Mathematics or Data Science 6 years minimum of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction Must be authorized to work in the United States without the need for visa sponsorship now or in the future Preferred Qualifications: Demonstrated expertise in natural language processing (NLP) and machine learning, including hands-on experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit-learn, pandas, numpy, TensorFlow, and PyTorch Experience delivering production-grade GenAI or LLM-based systems with measurable business impact Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus Deep proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus Practical experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable solutions Excellent communication and collaboration skills, with experience working cross-functionally with product managers, engineers, and data scientists in globally distributed teams Experience working in fast-paced, data-driven environments. Prior exposure to fintech or financial data platforms is a strong advantage Experience authoring research papers for peer-reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred Benefits + Compensation at PitchBook: Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company-wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation Annual base salary: $170,000-$240,000 Target annual bonus percentage: 10% Working Conditions: At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. . click apply for full job details
09/23/2026
Full time
At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role: As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform. You will be deeply involved in the end-to-end development and operationalization of ML models, including their architecture, training, deployment, and ongoing maintenance. Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. You will be expected to tackle complex technical challenges, contribute to architectural decisions, and collaborate closely with other engineers, data scientists, and product managers to ensure that your work aligns with business goals and AI/ML strategy. Your contributions will help unlock unique value for PitchBook customers by improving the speed, discoverability, quality, and quantity of insights available on the platform. This includes developing models that can infer meaning and structure from millions of discrete data sources, and applying ML to enrich our datasets with predictive and generative intelligence. As a senior engineer, you will take ownership of key technical components and ensure that our systems meet the highest standards of performance, reliability, and security. Primary Job Responsibilities: Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards Support a culture of technical excellence by mentoring peers, sharing knowledge, and participating in code and design reviews. Promote innovation and continuous improvement through collaborative engineering practices Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook's AI capabilities Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles Support the vision and values of the company through role modeling and encouraging desired behaviors Participate in various company initiatives and projects as requested Basic Qualifications: Bachelor's in Computer Science, Mathematics or Data Science 6 years minimum of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction Must be authorized to work in the United States without the need for visa sponsorship now or in the future Preferred Qualifications: Demonstrated expertise in natural language processing (NLP) and machine learning, including hands-on experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit-learn, pandas, numpy, TensorFlow, and PyTorch Experience delivering production-grade GenAI or LLM-based systems with measurable business impact Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus Deep proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus Practical experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable solutions Excellent communication and collaboration skills, with experience working cross-functionally with product managers, engineers, and data scientists in globally distributed teams Experience working in fast-paced, data-driven environments. Prior exposure to fintech or financial data platforms is a strong advantage Experience authoring research papers for peer-reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred Benefits + Compensation at PitchBook: Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company-wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation Annual base salary: $170,000-$240,000 Target annual bonus percentage: 10% Working Conditions: At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. . click apply for full job details
About Nscale Nscale is taking on the hyperscalers by building a vertically integrated GenAI cloud platform. We own the data centres, software, and applications that power today's AI stack using sustainable technology solutions. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. Collaboration is key, and we work together swiftly and respectfully, embracing adaptability and resilience in all we do. About the role Technical Product Managers at Nscale own the definition, delivery, and ongoing evolution of a slice of the Nscale platform, partnering with engineering, design, and go-to-market to turn customer and operational problems into shippable outcomes. As a Senior Technical Product Manager for Observability, you own the platform that gives customers and internal operators real-time visibility into their GPU fleet: the telemetry pipeline that scrapes data from physical infrastructure, the aggregation and storage layer, and the observability surfaces (logs, metrics, and traces) that enable fleet management, incident response, and alerting at scale. You partner daily with Fleet Software, Network Engineering, Data Centre Operations, and customer teams to make fleet health visible, actionable, and reliable as Nscale scales from a handful of deployments to a globally distributed fleet. What you'll be doing Own the roadmap for Nscale's observability platform: the telemetry pipeline, log and metrics aggregation, trace collection, and customer facing APIs and dashboards that surface fleet health to customers and operators. Define how logs, metrics, and traces are captured from physical infrastructure, aggregated, and surfaced through the observability platform to enable customers to manage their fleet and handle incidents. Own alerting strategy and optimisation: define what matters, reduce noise, and ensure the right signal reaches the right person at the right time. Capture and prioritise new telemetry requirements as the fleet scales, working with engineering to extend coverage across new hardware, sites, and deployment types. Shadow incident reviews and site operations to turn recurring manual effort and visibility gaps into platform capabilities. Define and drive the metrics that matter: alert signal-to-noise ratio, time-to-detect, time-to-resolve, telemetry coverage, and platform reliability. Mentor junior PMs and raise the bar for PRDs, reviews, and product decisions across the team. What you need 5-8 years in product management, with a track record owning significant areas in observability, infrastructure, or operations-facing products. Demonstrated experience building observability stacks: you have owned a product that captures and surfaces logs, metrics, and traces at scale, and you understand the architectural and UX tradeoffs involved. Hands-on experience with Prometheus, Loki, Mimir, Datadog, Grafana, or OpenTelemetry. Experience with deployment tooling in a data centre or infrastructure context, including provisioning workflows, networking automation, or zero-touch deployment pipelines. Experience building for operators and delivery teams (design engineers, project controllers, PMs, SREs, DC technicians) and a genuine appetite for their workflows. Strong technical fluency: you can lead architecture and trade-off discussions across telemetry pipelines, time-series storage, alerting systems, and observability integrations. A record of moving ambiguous operational problems to shipped outcomes that measurably improve visibility, incident response, or fleet reliability. Excellent written and verbal communication across engineers, operators, and executives. Nice to haves Broader observability problem domain experience across different toolsets beyond the above stack. Familiarity with bare-metal provisioning tools (OpenStack Ironic, MAAS, or similar) or network automation tooling (NetBox, Nautobot, or similar).Degree in CS or engineering, or prior experience as an engineer, SRE, or infrastructure operator. Familiarity with GPU or accelerated compute infrastructure, data centre operations, or hyperscaler-style deployment at scale. ITSM: Jira Service Management, ServiceNow, Zendesk, or Freshservice. Experience in high-growth environments where the product is being built alongside the fleet it monitors. Join Nscale as we build a world-class AI cloud platform. If you're excited about owning the software that turns contracts into live GPU capacity, we'd love to hear from you! At Nscale, we are committed to fostering an inclusive, diverse, and equitable workplace. We believe that a variety of perspectives enriches our work environment, and we encourage applications from candidates of all backgrounds, experiences, and abilities. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. Salary Range $220,000-$260,000 USD For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. Nscale does not accept unsolicited candidate submissions from recruitment agencies.
09/23/2026
Full time
About Nscale Nscale is taking on the hyperscalers by building a vertically integrated GenAI cloud platform. We own the data centres, software, and applications that power today's AI stack using sustainable technology solutions. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. Collaboration is key, and we work together swiftly and respectfully, embracing adaptability and resilience in all we do. About the role Technical Product Managers at Nscale own the definition, delivery, and ongoing evolution of a slice of the Nscale platform, partnering with engineering, design, and go-to-market to turn customer and operational problems into shippable outcomes. As a Senior Technical Product Manager for Observability, you own the platform that gives customers and internal operators real-time visibility into their GPU fleet: the telemetry pipeline that scrapes data from physical infrastructure, the aggregation and storage layer, and the observability surfaces (logs, metrics, and traces) that enable fleet management, incident response, and alerting at scale. You partner daily with Fleet Software, Network Engineering, Data Centre Operations, and customer teams to make fleet health visible, actionable, and reliable as Nscale scales from a handful of deployments to a globally distributed fleet. What you'll be doing Own the roadmap for Nscale's observability platform: the telemetry pipeline, log and metrics aggregation, trace collection, and customer facing APIs and dashboards that surface fleet health to customers and operators. Define how logs, metrics, and traces are captured from physical infrastructure, aggregated, and surfaced through the observability platform to enable customers to manage their fleet and handle incidents. Own alerting strategy and optimisation: define what matters, reduce noise, and ensure the right signal reaches the right person at the right time. Capture and prioritise new telemetry requirements as the fleet scales, working with engineering to extend coverage across new hardware, sites, and deployment types. Shadow incident reviews and site operations to turn recurring manual effort and visibility gaps into platform capabilities. Define and drive the metrics that matter: alert signal-to-noise ratio, time-to-detect, time-to-resolve, telemetry coverage, and platform reliability. Mentor junior PMs and raise the bar for PRDs, reviews, and product decisions across the team. What you need 5-8 years in product management, with a track record owning significant areas in observability, infrastructure, or operations-facing products. Demonstrated experience building observability stacks: you have owned a product that captures and surfaces logs, metrics, and traces at scale, and you understand the architectural and UX tradeoffs involved. Hands-on experience with Prometheus, Loki, Mimir, Datadog, Grafana, or OpenTelemetry. Experience with deployment tooling in a data centre or infrastructure context, including provisioning workflows, networking automation, or zero-touch deployment pipelines. Experience building for operators and delivery teams (design engineers, project controllers, PMs, SREs, DC technicians) and a genuine appetite for their workflows. Strong technical fluency: you can lead architecture and trade-off discussions across telemetry pipelines, time-series storage, alerting systems, and observability integrations. A record of moving ambiguous operational problems to shipped outcomes that measurably improve visibility, incident response, or fleet reliability. Excellent written and verbal communication across engineers, operators, and executives. Nice to haves Broader observability problem domain experience across different toolsets beyond the above stack. Familiarity with bare-metal provisioning tools (OpenStack Ironic, MAAS, or similar) or network automation tooling (NetBox, Nautobot, or similar).Degree in CS or engineering, or prior experience as an engineer, SRE, or infrastructure operator. Familiarity with GPU or accelerated compute infrastructure, data centre operations, or hyperscaler-style deployment at scale. ITSM: Jira Service Management, ServiceNow, Zendesk, or Freshservice. Experience in high-growth environments where the product is being built alongside the fleet it monitors. Join Nscale as we build a world-class AI cloud platform. If you're excited about owning the software that turns contracts into live GPU capacity, we'd love to hear from you! At Nscale, we are committed to fostering an inclusive, diverse, and equitable workplace. We believe that a variety of perspectives enriches our work environment, and we encourage applications from candidates of all backgrounds, experiences, and abilities. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. Salary Range $220,000-$260,000 USD For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. Nscale does not accept unsolicited candidate submissions from recruitment agencies.
We anticipate the application window for this opening will close on - 29 Sep 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first - developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life The Sr DevSecOps Engineer defines, implements, and governs secure embedded software platform practices for regulated medical device programs. This role provides technical leadership across CI/CD automation, embedded Linux security, software supply chain controls, vulnerability management, cybersecurity risk analysis, and release evidence generation to support safe, secure, and compliant medical device development. Overview The Sr DevSecOps Engineer will join the Embedded OS Platforms and DevOps Team to implement secure embedded platform DevOps workflows for new and existing medical device development programs. The Embedded OS Platforms and DevOps Team delivers the software infrastructure and foundational system components that enable operation of product application software. This role is responsible for advancing reusable DevSecOps frameworks, secure CI/D pipelines and software supply chain practices, embedded Linux security capabilities, and cybersecurity lifecycle processes across multiple products. The successful candidate will serve as a technical lead who partners with OS and application software developers, systems, product security, quality, regulatory, and program teams to deliver secure, maintainable, and compliant platform solutions. Key Responsibilities Define and own the DevSecOps architecture and roadmap for embedded capital equipment platforms, including secure CI/CD pipelines, build infrastructure, security automation, and release evidence. Establish secure software supply chain practices, including SBOM generation, SOUP/OTS component tracking, license awareness, vulnerability monitoring, end-of-support tracking, and remediation workflows. Develop reusable CI/CD templates and pipeline controls for static analysis, software composition analysis, unit test automation, artifact signing, provenance tracking, cybersecurity evidence capture, and release readiness. Lead threat modeling and cybersecurity risk analysis for embedded platform components, including asset identification, attack surface analysis, exploitability assessment, security controls, and traceability to risk mitigations. Drive CVE intake, enrichment, asset mapping, triage, risk scoring, remediation planning, validation, and reporting in partnership with Product Security, SWQA, Systems, and program teams. Design and implement secure boot, firmware signing, cryptographic configuration, key/certificate lifecycle support, authenticated update mechanisms, and secure device communication patterns. Define runtime security monitoring requirements and support post-market cybersecurity monitoring and vulnerability response workflows. Review reported anomalies, assess cybersecurity impact, and support incident-response activities as needed. Support regulatory submissions and audits by ensuring cybersecurity, software lifecycle, and DevSecOps evidence is complete, traceable, reproducible, and aligned with internal quality system expectations. Collaborate with external vendors and internal partners to evaluate security tooling, embedded Linux support models, vulnerability intelligence, penetration testing outputs, and long-term maintenance approaches. Provide technical leadership and mentoring to software engineers, DevOps engineers, and platform teams on secure coding, build automation, vulnerability handling, and regulated software development practices. Technologies & Tools AMD Zynq and Zynq UltraScale+ SoCs, NVIDIA ORIN, SafeRTOS, FreeRTOS Yocto-based embedded Linux package development Embedded hypervisors, Linux device drivers, BSPs, and boot flows Custom build systems and CI/CD pipelines Docker, Snyk, SonarQube, and software composition analysis tools Static analysis, software composition analysis, artifact signing, and vulnerability management tools Python, Bash, and Go Atlassian tools including Bitbucket, Jira, Bamboo, and Confluence GitHub and GitLab Networking security, secure boot, firmware signing, and secure update technologies Preferred Qualifications Hands-on experience with cloud infrastructure (AWS or similar) and modern DevOps practices. Proficiency with infrastructure-as-code and secure CI/CD tooling. Familiarity with monitoring, observability, and incident management. Experience with security technologies and practices including certificates, secrets management, and compliance support. Experience developing DevSecOps workflows in regulated safety-critical environments such as aerospace, medical, automotive, or industrial controls. Understanding of FDA cybersecurity expectations, IEC 62304, ISO 14971, ISO 13485, SOUP/OTS software management, SBOM practices, and software lifecycle evidence generation. Experience implementing security automation in CI/CD pipelines, including SAST, SCA, container scanning, artifact signing, build reproducibility, traceability, and vulnerability reporting. Experience with threat modeling, vulnerability assessment, cybersecurity risk analysis, and secure-by-design architecture reviews. Ability to collaborate across hardware, software, systems, product security, quality, regulatory, program management, and product management stakeholders. Strong debugging, problem-solving, and root-cause analysis skills. Strong technical communication skills with the ability to translate cybersecurity and DevSecOps risks into actionable engineering and leadership decisions. TECHNICAL SPECIALIST CAREER STREAM: An individual contributor with responsibility in technical functions to advance existing technology or introduce new technology and therapies. Formulates, delivers, and manages projects assigned, and works with stakeholders to achieve desired results. May act as a mentor to colleagues or direct the work of other professionals. The majority of time is spent delivering R&D, systems, or initiatives related to new technologies or therapies from design to implementation while adhering to policies and using specialized knowledge and skills. For Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirements of 8 C.F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role. U.S. Work Authorization & Sponsorship At Medtronic, we are committed to fostering an environment where employees can thrive and make a meaningful impact. In alignment with our enterprise-wide workforce planning approach, U.S. work authorization sponsorship (H-1B, TN, J, etc.) is offered exclusively for Principal-level roles and above, where specialized expertise aligns with long-term business needs. Roles below the Principal level require candidates to possess unrestricted U.S. work authorization at the time of hire and for the duration of employment. Recruitment Fraud Alert We are aware of phishing scams targeting job seekers. Please keep the following in mind: Apply only through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and email addresses. Medtronic will never ask for payment or sensitive personal information (such as bank account or Social Security details) during early stages of the hiring process. Any such requests are not legitimate. If you receive a suspicious message claiming to be from Medtronic, do not respond, click links, or open attachments. If you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at . Benefits & Compensation Medtronic offers a competitive Salary and flexible Benefits Package A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. Salary ranges for U.S (excl . click apply for full job details
09/23/2026
Full time
We anticipate the application window for this opening will close on - 29 Sep 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first - developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life The Sr DevSecOps Engineer defines, implements, and governs secure embedded software platform practices for regulated medical device programs. This role provides technical leadership across CI/CD automation, embedded Linux security, software supply chain controls, vulnerability management, cybersecurity risk analysis, and release evidence generation to support safe, secure, and compliant medical device development. Overview The Sr DevSecOps Engineer will join the Embedded OS Platforms and DevOps Team to implement secure embedded platform DevOps workflows for new and existing medical device development programs. The Embedded OS Platforms and DevOps Team delivers the software infrastructure and foundational system components that enable operation of product application software. This role is responsible for advancing reusable DevSecOps frameworks, secure CI/D pipelines and software supply chain practices, embedded Linux security capabilities, and cybersecurity lifecycle processes across multiple products. The successful candidate will serve as a technical lead who partners with OS and application software developers, systems, product security, quality, regulatory, and program teams to deliver secure, maintainable, and compliant platform solutions. Key Responsibilities Define and own the DevSecOps architecture and roadmap for embedded capital equipment platforms, including secure CI/CD pipelines, build infrastructure, security automation, and release evidence. Establish secure software supply chain practices, including SBOM generation, SOUP/OTS component tracking, license awareness, vulnerability monitoring, end-of-support tracking, and remediation workflows. Develop reusable CI/CD templates and pipeline controls for static analysis, software composition analysis, unit test automation, artifact signing, provenance tracking, cybersecurity evidence capture, and release readiness. Lead threat modeling and cybersecurity risk analysis for embedded platform components, including asset identification, attack surface analysis, exploitability assessment, security controls, and traceability to risk mitigations. Drive CVE intake, enrichment, asset mapping, triage, risk scoring, remediation planning, validation, and reporting in partnership with Product Security, SWQA, Systems, and program teams. Design and implement secure boot, firmware signing, cryptographic configuration, key/certificate lifecycle support, authenticated update mechanisms, and secure device communication patterns. Define runtime security monitoring requirements and support post-market cybersecurity monitoring and vulnerability response workflows. Review reported anomalies, assess cybersecurity impact, and support incident-response activities as needed. Support regulatory submissions and audits by ensuring cybersecurity, software lifecycle, and DevSecOps evidence is complete, traceable, reproducible, and aligned with internal quality system expectations. Collaborate with external vendors and internal partners to evaluate security tooling, embedded Linux support models, vulnerability intelligence, penetration testing outputs, and long-term maintenance approaches. Provide technical leadership and mentoring to software engineers, DevOps engineers, and platform teams on secure coding, build automation, vulnerability handling, and regulated software development practices. Technologies & Tools AMD Zynq and Zynq UltraScale+ SoCs, NVIDIA ORIN, SafeRTOS, FreeRTOS Yocto-based embedded Linux package development Embedded hypervisors, Linux device drivers, BSPs, and boot flows Custom build systems and CI/CD pipelines Docker, Snyk, SonarQube, and software composition analysis tools Static analysis, software composition analysis, artifact signing, and vulnerability management tools Python, Bash, and Go Atlassian tools including Bitbucket, Jira, Bamboo, and Confluence GitHub and GitLab Networking security, secure boot, firmware signing, and secure update technologies Preferred Qualifications Hands-on experience with cloud infrastructure (AWS or similar) and modern DevOps practices. Proficiency with infrastructure-as-code and secure CI/CD tooling. Familiarity with monitoring, observability, and incident management. Experience with security technologies and practices including certificates, secrets management, and compliance support. Experience developing DevSecOps workflows in regulated safety-critical environments such as aerospace, medical, automotive, or industrial controls. Understanding of FDA cybersecurity expectations, IEC 62304, ISO 14971, ISO 13485, SOUP/OTS software management, SBOM practices, and software lifecycle evidence generation. Experience implementing security automation in CI/CD pipelines, including SAST, SCA, container scanning, artifact signing, build reproducibility, traceability, and vulnerability reporting. Experience with threat modeling, vulnerability assessment, cybersecurity risk analysis, and secure-by-design architecture reviews. Ability to collaborate across hardware, software, systems, product security, quality, regulatory, program management, and product management stakeholders. Strong debugging, problem-solving, and root-cause analysis skills. Strong technical communication skills with the ability to translate cybersecurity and DevSecOps risks into actionable engineering and leadership decisions. TECHNICAL SPECIALIST CAREER STREAM: An individual contributor with responsibility in technical functions to advance existing technology or introduce new technology and therapies. Formulates, delivers, and manages projects assigned, and works with stakeholders to achieve desired results. May act as a mentor to colleagues or direct the work of other professionals. The majority of time is spent delivering R&D, systems, or initiatives related to new technologies or therapies from design to implementation while adhering to policies and using specialized knowledge and skills. For Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirements of 8 C.F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role. U.S. Work Authorization & Sponsorship At Medtronic, we are committed to fostering an environment where employees can thrive and make a meaningful impact. In alignment with our enterprise-wide workforce planning approach, U.S. work authorization sponsorship (H-1B, TN, J, etc.) is offered exclusively for Principal-level roles and above, where specialized expertise aligns with long-term business needs. Roles below the Principal level require candidates to possess unrestricted U.S. work authorization at the time of hire and for the duration of employment. Recruitment Fraud Alert We are aware of phishing scams targeting job seekers. Please keep the following in mind: Apply only through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and email addresses. Medtronic will never ask for payment or sensitive personal information (such as bank account or Social Security details) during early stages of the hiring process. Any such requests are not legitimate. If you receive a suspicious message claiming to be from Medtronic, do not respond, click links, or open attachments. If you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at . Benefits & Compensation Medtronic offers a competitive Salary and flexible Benefits Package A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. Salary ranges for U.S (excl . click apply for full job details
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Manager, Site Reliability Engineering San Francisco, California Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. This position requires 2 days a week in our San Francisco Office. The IDaaS Site Reliability Engineering Group Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, CI/CD, Observability, automation platform & tooling. What you'll be doing Managing a team of SRE's supporting various workloads and teams that support our IDaaS platform. Drive the microservice journey, DevOps maturity, and workload reliability in tandem with architects and teams across the organization. Accelerate the velocity of SRE and product engineering by developing powerful tooling, intuitive self-service capabilities, and robust self-healing patterns. Lead, mentor, and grow a high-performing team of engineers and managers across platform, infrastructure, and shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of CI/CD pipelines, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 3+ years of experience in technical leadership & people management Extensive experience using Agile and DevOps methodologies to build product infrastructure and shared service at scale Experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, containerization (Kubernetes), IaC (Terraform), and CI/CD pipelines Strong background and hands-on experience in SW development, PaaS and automation Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P24518_ Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $204,000-$306,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
09/23/2026
Full time
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Manager, Site Reliability Engineering San Francisco, California Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. This position requires 2 days a week in our San Francisco Office. The IDaaS Site Reliability Engineering Group Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, CI/CD, Observability, automation platform & tooling. What you'll be doing Managing a team of SRE's supporting various workloads and teams that support our IDaaS platform. Drive the microservice journey, DevOps maturity, and workload reliability in tandem with architects and teams across the organization. Accelerate the velocity of SRE and product engineering by developing powerful tooling, intuitive self-service capabilities, and robust self-healing patterns. Lead, mentor, and grow a high-performing team of engineers and managers across platform, infrastructure, and shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of CI/CD pipelines, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 3+ years of experience in technical leadership & people management Extensive experience using Agile and DevOps methodologies to build product infrastructure and shared service at scale Experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, containerization (Kubernetes), IaC (Terraform), and CI/CD pipelines Strong background and hands-on experience in SW development, PaaS and automation Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P24518_ Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $204,000-$306,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Manager, Site Reliability Engineering San Francisco, California Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. This position requires 2 days a week in our San Francisco Office. The IDaaS Site Reliability Engineering Group Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, CI/CD, Observability, automation platform & tooling. What you'll be doing Managing a team of SRE's supporting various workloads and teams that support our IDaaS platform. Drive the microservice journey, DevOps maturity, and workload reliability in tandem with architects and teams across the organization. Accelerate the velocity of SRE and product engineering by developing powerful tooling, intuitive self-service capabilities, and robust self-healing patterns. Lead, mentor, and grow a high-performing team of engineers and managers across platform, infrastructure, and shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of CI/CD pipelines, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 3+ years of experience in technical leadership & people management Extensive experience using Agile and DevOps methodologies to build product infrastructure and shared service at scale Experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, containerization (Kubernetes), IaC (Terraform), and CI/CD pipelines Strong background and hands-on experience in SW development, PaaS and automation Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P24518_ Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $204,000-$306,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
09/23/2026
Full time
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Manager, Site Reliability Engineering San Francisco, California Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. This position requires 2 days a week in our San Francisco Office. The IDaaS Site Reliability Engineering Group Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, CI/CD, Observability, automation platform & tooling. What you'll be doing Managing a team of SRE's supporting various workloads and teams that support our IDaaS platform. Drive the microservice journey, DevOps maturity, and workload reliability in tandem with architects and teams across the organization. Accelerate the velocity of SRE and product engineering by developing powerful tooling, intuitive self-service capabilities, and robust self-healing patterns. Lead, mentor, and grow a high-performing team of engineers and managers across platform, infrastructure, and shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of CI/CD pipelines, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 3+ years of experience in technical leadership & people management Extensive experience using Agile and DevOps methodologies to build product infrastructure and shared service at scale Experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, containerization (Kubernetes), IaC (Terraform), and CI/CD pipelines Strong background and hands-on experience in SW development, PaaS and automation Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P24518_ Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $204,000-$306,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Manager, Site Reliability Engineering San Francisco, California Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. This position requires 2 days a week in our San Francisco Office. The IDaaS Site Reliability Engineering Group Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, CI/CD, Observability, automation platform & tooling. What you'll be doing Managing a team of SRE's supporting various workloads and teams that support our IDaaS platform. Drive the microservice journey, DevOps maturity, and workload reliability in tandem with architects and teams across the organization. Accelerate the velocity of SRE and product engineering by developing powerful tooling, intuitive self-service capabilities, and robust self-healing patterns. Lead, mentor, and grow a high-performing team of engineers and managers across platform, infrastructure, and shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of CI/CD pipelines, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 3+ years of experience in technical leadership & people management Extensive experience using Agile and DevOps methodologies to build product infrastructure and shared service at scale Experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, containerization (Kubernetes), IaC (Terraform), and CI/CD pipelines Strong background and hands-on experience in SW development, PaaS and automation Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P24518_ Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $204,000-$306,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
09/23/2026
Full time
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Manager, Site Reliability Engineering San Francisco, California Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. This position requires 2 days a week in our San Francisco Office. The IDaaS Site Reliability Engineering Group Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, CI/CD, Observability, automation platform & tooling. What you'll be doing Managing a team of SRE's supporting various workloads and teams that support our IDaaS platform. Drive the microservice journey, DevOps maturity, and workload reliability in tandem with architects and teams across the organization. Accelerate the velocity of SRE and product engineering by developing powerful tooling, intuitive self-service capabilities, and robust self-healing patterns. Lead, mentor, and grow a high-performing team of engineers and managers across platform, infrastructure, and shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of CI/CD pipelines, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 3+ years of experience in technical leadership & people management Extensive experience using Agile and DevOps methodologies to build product infrastructure and shared service at scale Experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, containerization (Kubernetes), IaC (Terraform), and CI/CD pipelines Strong background and hands-on experience in SW development, PaaS and automation Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P24518_ Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $204,000-$306,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Manager, Site Reliability Engineering San Francisco, California Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. This position requires 2 days a week in our San Francisco Office. The IDaaS Site Reliability Engineering Group Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, CI/CD, Observability, automation platform & tooling. What you'll be doing Managing a team of SRE's supporting various workloads and teams that support our IDaaS platform. Drive the microservice journey, DevOps maturity, and workload reliability in tandem with architects and teams across the organization. Accelerate the velocity of SRE and product engineering by developing powerful tooling, intuitive self-service capabilities, and robust self-healing patterns. Lead, mentor, and grow a high-performing team of engineers and managers across platform, infrastructure, and shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of CI/CD pipelines, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 3+ years of experience in technical leadership & people management Extensive experience using Agile and DevOps methodologies to build product infrastructure and shared service at scale Experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, containerization (Kubernetes), IaC (Terraform), and CI/CD pipelines Strong background and hands-on experience in SW development, PaaS and automation Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P24518_ Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $204,000-$306,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
09/23/2026
Full time
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Manager, Site Reliability Engineering San Francisco, California Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. This position requires 2 days a week in our San Francisco Office. The IDaaS Site Reliability Engineering Group Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, CI/CD, Observability, automation platform & tooling. What you'll be doing Managing a team of SRE's supporting various workloads and teams that support our IDaaS platform. Drive the microservice journey, DevOps maturity, and workload reliability in tandem with architects and teams across the organization. Accelerate the velocity of SRE and product engineering by developing powerful tooling, intuitive self-service capabilities, and robust self-healing patterns. Lead, mentor, and grow a high-performing team of engineers and managers across platform, infrastructure, and shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of CI/CD pipelines, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 3+ years of experience in technical leadership & people management Extensive experience using Agile and DevOps methodologies to build product infrastructure and shared service at scale Experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, containerization (Kubernetes), IaC (Terraform), and CI/CD pipelines Strong background and hands-on experience in SW development, PaaS and automation Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P24518_ Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $204,000-$306,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
CSQ427R136 Sr. Field Technical Program Manager, Forward Deployed Engineering - Public Sector At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! As a Sr. Field Technical Program Manager at Databricks, you will be a key driver in our Forward Deployed Engineering team's mission to accelerate and de-risk customer outcomes. Your role is central to achieving project goals and maintaining exceptional customer satisfaction, particularly within our U.S. Government customer base. While you are not expected to have hands-on coding experience, your technical acumen and strategic influence will be critical for guiding complex engagements to success. You will work closely with cross-functional teams to deliver excellence at every stage. The Impact You Will Have Be responsible for the successful delivery of our most complex customer engagements by providing technical leadership and guidance to the implementation team. Guide technical teams through key architectural decisions, helping them navigate trade-offs between established and innovative approaches. Proactively identify and mitigate technical risks and dependencies that could impact project timelines and goals. Individually deliver on commitments by producing high-quality deliverables, status reports, program plans, and customer responses that require minimal rework. Effectively manage all aspects of a program, including scope, schedule, budget, risk, and resources, with a focus on technical complexity. Act as the primary point of escalation for customers regarding technical delivery issues and, as needed, escalate to other parts of Databricks for rapid resolution. Build trust and credibility with technical teams and stakeholders by clearly articulating Databricks' vision and solutions and facilitating productive, goal-oriented meetings. What We Look For Technical Acumen & Decision Making: A proven ability to stay current on technology trends and make sound technical decisions without being a hands-on coder. Program & Project Management: Experience managing large, complex engagements and mitigating unexpected technical challenges. Familiarity with managing the trade-offs between scope, budget, and timeline. Communication & Leadership: Excellent communication, negotiation, and conflict resolution skills. A track record of influencing technical teams and effectively tailoring messages for different audiences, from engineers to executives. Experience with BI, data management, and big data technologies is preferred. Proven ability to multitask and manage multiple engagements while delivering a high level of customer satisfaction. The candidate must be clearable with the US Government. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 2 Pay Range $140,400-$193,050 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
09/23/2026
Full time
CSQ427R136 Sr. Field Technical Program Manager, Forward Deployed Engineering - Public Sector At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! As a Sr. Field Technical Program Manager at Databricks, you will be a key driver in our Forward Deployed Engineering team's mission to accelerate and de-risk customer outcomes. Your role is central to achieving project goals and maintaining exceptional customer satisfaction, particularly within our U.S. Government customer base. While you are not expected to have hands-on coding experience, your technical acumen and strategic influence will be critical for guiding complex engagements to success. You will work closely with cross-functional teams to deliver excellence at every stage. The Impact You Will Have Be responsible for the successful delivery of our most complex customer engagements by providing technical leadership and guidance to the implementation team. Guide technical teams through key architectural decisions, helping them navigate trade-offs between established and innovative approaches. Proactively identify and mitigate technical risks and dependencies that could impact project timelines and goals. Individually deliver on commitments by producing high-quality deliverables, status reports, program plans, and customer responses that require minimal rework. Effectively manage all aspects of a program, including scope, schedule, budget, risk, and resources, with a focus on technical complexity. Act as the primary point of escalation for customers regarding technical delivery issues and, as needed, escalate to other parts of Databricks for rapid resolution. Build trust and credibility with technical teams and stakeholders by clearly articulating Databricks' vision and solutions and facilitating productive, goal-oriented meetings. What We Look For Technical Acumen & Decision Making: A proven ability to stay current on technology trends and make sound technical decisions without being a hands-on coder. Program & Project Management: Experience managing large, complex engagements and mitigating unexpected technical challenges. Familiarity with managing the trade-offs between scope, budget, and timeline. Communication & Leadership: Excellent communication, negotiation, and conflict resolution skills. A track record of influencing technical teams and effectively tailoring messages for different audiences, from engineers to executives. Experience with BI, data management, and big data technologies is preferred. Proven ability to multitask and manage multiple engagements while delivering a high level of customer satisfaction. The candidate must be clearable with the US Government. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 2 Pay Range $140,400-$193,050 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
CSQ327R216 As a Sr. Field Technical Program Manager (TPM) role in our Forward Deployed Engineering team, you will play a pivotal role in delivering complex technical projects that drive customer success and our business growth. Forward Deployed Engineering is part of the Field Engineering (FE) organization, the technical arm of Databricks' customer-facing teams. The TPM position understands our customers' business goals and can steer technical projects from beginning to end with exceptional outcomes. You will start on projects after a statement of work is agreed (i.e. post-sales) and will leverage your technical expertise and project management skills to navigate customer challenges and deliver with excellence at every stage.This role serves as the essential link between the Field Engineering teams and internal groups, including Sales, Product, and Engineering. Key Responsibilities Customer Outcomes: Own delivering customer outcomes for approximately five concurrent customer projects, ensuring high customer satisfaction Project Planning: Develop detailed technical project plans from finalized proposals or statements of work setting specific milestones, objectives, and key results. Project Execution & Risk Management: Drive measurable weekly progress with detailed tracking and by mitigating risks to project objectives, ensuring projects stay on track. Stakeholder Management: Facilitate effective meetings across technical and non-technical stakeholders, from engineering standups to executive steering committees. Leadership: Adapt to changing project requirements and priorities, proactively steering projects around challenges and collaborating across Professional Services, Engineering, and Sales teams. Technical Knowledge: Leverage and expand your understanding of data platform technologies and processes, such as data lakes, data governance, data quality, ETLs, and migration best practices, to drive customer outcomes faster. Process Improvement: Define and implement new processes and operational cadences to improve the efficiency and effectiveness of the Professional Services team. Minimum Qualifications Experience: 5+ years of experience in Technical Program Management, preferably in a B2B SaaS, cloud, or data engineering/analytics company. Technical Background: A Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Must be comfortable diving deep into technical topics with Solution Architects and Engineers. Program Management Skills: Proven ability to manage complex, cross-functional technical programs and deliver results in a fast-paced environment. Strong understanding of Agile and other program management methodologies. Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences (from engineers to executives) and build consensus. Domain Knowledge: Foundational knowledge of the data and AI landscape (e.g., data warehousing, data lakes, ETL, streaming, data science, machine learning). Preferred Qualifications Certifications: PMP, CSM, or related program management certification. Databricks/Spark: Hands-on experience with the Data Intelligence Platforms or Data frameworks like Apache Spark . Cloud Platforms: Experience with public cloud provider solutions (AWS, Azure, or GCP). Customer-Facing Experience: Prior experience in a customer-facing implementation role (e.g., Technical Project Manager, Solutions Architect, Technical Account Manager, Professional Services, Product Manager). GenAI/ML Experience: Experience delivering programs related to AI, Machine Learning, or Generative AI. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $156,000-$214,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
09/23/2026
Full time
CSQ327R216 As a Sr. Field Technical Program Manager (TPM) role in our Forward Deployed Engineering team, you will play a pivotal role in delivering complex technical projects that drive customer success and our business growth. Forward Deployed Engineering is part of the Field Engineering (FE) organization, the technical arm of Databricks' customer-facing teams. The TPM position understands our customers' business goals and can steer technical projects from beginning to end with exceptional outcomes. You will start on projects after a statement of work is agreed (i.e. post-sales) and will leverage your technical expertise and project management skills to navigate customer challenges and deliver with excellence at every stage.This role serves as the essential link between the Field Engineering teams and internal groups, including Sales, Product, and Engineering. Key Responsibilities Customer Outcomes: Own delivering customer outcomes for approximately five concurrent customer projects, ensuring high customer satisfaction Project Planning: Develop detailed technical project plans from finalized proposals or statements of work setting specific milestones, objectives, and key results. Project Execution & Risk Management: Drive measurable weekly progress with detailed tracking and by mitigating risks to project objectives, ensuring projects stay on track. Stakeholder Management: Facilitate effective meetings across technical and non-technical stakeholders, from engineering standups to executive steering committees. Leadership: Adapt to changing project requirements and priorities, proactively steering projects around challenges and collaborating across Professional Services, Engineering, and Sales teams. Technical Knowledge: Leverage and expand your understanding of data platform technologies and processes, such as data lakes, data governance, data quality, ETLs, and migration best practices, to drive customer outcomes faster. Process Improvement: Define and implement new processes and operational cadences to improve the efficiency and effectiveness of the Professional Services team. Minimum Qualifications Experience: 5+ years of experience in Technical Program Management, preferably in a B2B SaaS, cloud, or data engineering/analytics company. Technical Background: A Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Must be comfortable diving deep into technical topics with Solution Architects and Engineers. Program Management Skills: Proven ability to manage complex, cross-functional technical programs and deliver results in a fast-paced environment. Strong understanding of Agile and other program management methodologies. Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences (from engineers to executives) and build consensus. Domain Knowledge: Foundational knowledge of the data and AI landscape (e.g., data warehousing, data lakes, ETL, streaming, data science, machine learning). Preferred Qualifications Certifications: PMP, CSM, or related program management certification. Databricks/Spark: Hands-on experience with the Data Intelligence Platforms or Data frameworks like Apache Spark . Cloud Platforms: Experience with public cloud provider solutions (AWS, Azure, or GCP). Customer-Facing Experience: Prior experience in a customer-facing implementation role (e.g., Technical Project Manager, Solutions Architect, Technical Account Manager, Professional Services, Product Manager). GenAI/ML Experience: Experience delivering programs related to AI, Machine Learning, or Generative AI. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $156,000-$214,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Digital Transformation Services (DTS) team plays a vital role in enabling Waymo's mission to safely and sustainably bring autonomous technology to the world. Our purpose is to build and operate a resilient, scalable, and intelligent digital infrastructure that powers both Waymo's commercialization and day-to-day operations. We partner closely with all business functions to ensure that technology is a strategic enabler. Our top strategic objectives include: Commercialization and Scale the business, Ensure Operational Resilience and Uptime, Resiliency across mission-critical systems, network infrastructure, and cloud platforms that support both autonomous fleet operations and enterprise continuity, Lead GenAI Transformation. The Waymo Infrastructure & Network Services (WINS) team's mission is to: Provide reliable, resilient, secure digital infrastructure services. Deliver solutions with agility and speed to match Waymo mission velocity. Innovate and transform infrastructure capabilities and services. Collaborate with partners to execute the Driven by Waymo model In this role, you will report to IT Network Operations Manager You will: Leadership : Manage a high-performing, inclusive team of engineers, technical professionals, and vendor agents. Design and implement overarching business plans, long-term strategic initiatives, and roadmaps to continue organizational growth and prosperity. Incident Management : Act as an Owner during major service disruptions, managing the end-to-end remediation of high-severity events and Tier 2/3 escalations. Evolve the incident framework into an advanced ITIL-aligned methodology, prioritizing root-cause analysis, trend identification, and post-incident reviews (PIRs) to eliminate chronic or repetitive network issues. ITIL Governance : Oversee the full lifecycle of technology infrastructure services (incident, change, event, configuration, and asset management). Establish key performance indicators (KPIs) and continuous process improvement models to ensure reliable, repeatable service levels. Deployment Support : Validate and implement MOPs (Methods of Procedure) for internal teams and implementation partners. Oversee the deployment and maintenance of firewalls, switches, access points, UPS, and supporting infrastructure. Technical Operations : Provide technical leadership during complex network event correlation, architectural improvement validations, and the review of site-specific Engineering Design Plans (EDPs). Support the secure deployment, maintenance, and upgrade lifecycle of critical production infrastructure (firewalls, switches, access points, UPS, etc). Automation & Innovation : Guide the transition from legacy, manual infrastructure configurations to highly automated network operations. Partner with cross-functional teams to design automation systems, reduce operational toil, and onboard new technologies that drastically optimize MTTR metrics. You have: 7+ years of experience in network operations or engineering. People Management : 2+ years of experience in a management or team lead role Operational Excellence: Experience managing and delivering strategic networks with high availability requirements Team Building : Proven track record of recruiting, hiring, and building technical teams in a fast-paced environment. Technical Proficiency : Strong knowledge of configuring network devices via CLI (console/SSH) and cloud-hosted portals. High-Bandwidth Ops: Experience managing high-performance networks supporting large-scale data ingress/egress (e.g., fleet data offloading) and critical on-premise infrastructure. Soft Skills : Strong interpersonal, verbal, and written communication skills for engaging with both technical engineers and business stakeholders. Process Management : Experience in creating documentation, runbooks, and configuration management standards. B.S. in Computer Engineering, Electrical Engineering, or equivalent certifications/experience. We prefer: Network Automation: Experience with network automation tools (Ansible, Python, Terraform, etc.) to streamline operations. BGP & Routing: Practical experience establishing and troubleshooting BGP network peering and complex routing scenarios Travel Requirement: 20% Travel - Site Location, Ops support, Quarterly, Site visits etc; International travel based on business need. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000-$215,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Digital Transformation Services (DTS) team plays a vital role in enabling Waymo's mission to safely and sustainably bring autonomous technology to the world. Our purpose is to build and operate a resilient, scalable, and intelligent digital infrastructure that powers both Waymo's commercialization and day-to-day operations. We partner closely with all business functions to ensure that technology is a strategic enabler. Our top strategic objectives include: Commercialization and Scale the business, Ensure Operational Resilience and Uptime, Resiliency across mission-critical systems, network infrastructure, and cloud platforms that support both autonomous fleet operations and enterprise continuity, Lead GenAI Transformation. The Waymo Infrastructure & Network Services (WINS) team's mission is to: Provide reliable, resilient, secure digital infrastructure services. Deliver solutions with agility and speed to match Waymo mission velocity. Innovate and transform infrastructure capabilities and services. Collaborate with partners to execute the Driven by Waymo model In this role, you will report to IT Network Operations Manager You will: Leadership : Manage a high-performing, inclusive team of engineers, technical professionals, and vendor agents. Design and implement overarching business plans, long-term strategic initiatives, and roadmaps to continue organizational growth and prosperity. Incident Management : Act as an Owner during major service disruptions, managing the end-to-end remediation of high-severity events and Tier 2/3 escalations. Evolve the incident framework into an advanced ITIL-aligned methodology, prioritizing root-cause analysis, trend identification, and post-incident reviews (PIRs) to eliminate chronic or repetitive network issues. ITIL Governance : Oversee the full lifecycle of technology infrastructure services (incident, change, event, configuration, and asset management). Establish key performance indicators (KPIs) and continuous process improvement models to ensure reliable, repeatable service levels. Deployment Support : Validate and implement MOPs (Methods of Procedure) for internal teams and implementation partners. Oversee the deployment and maintenance of firewalls, switches, access points, UPS, and supporting infrastructure. Technical Operations : Provide technical leadership during complex network event correlation, architectural improvement validations, and the review of site-specific Engineering Design Plans (EDPs). Support the secure deployment, maintenance, and upgrade lifecycle of critical production infrastructure (firewalls, switches, access points, UPS, etc). Automation & Innovation : Guide the transition from legacy, manual infrastructure configurations to highly automated network operations. Partner with cross-functional teams to design automation systems, reduce operational toil, and onboard new technologies that drastically optimize MTTR metrics. You have: 7+ years of experience in network operations or engineering. People Management : 2+ years of experience in a management or team lead role Operational Excellence: Experience managing and delivering strategic networks with high availability requirements Team Building : Proven track record of recruiting, hiring, and building technical teams in a fast-paced environment. Technical Proficiency : Strong knowledge of configuring network devices via CLI (console/SSH) and cloud-hosted portals. High-Bandwidth Ops: Experience managing high-performance networks supporting large-scale data ingress/egress (e.g., fleet data offloading) and critical on-premise infrastructure. Soft Skills : Strong interpersonal, verbal, and written communication skills for engaging with both technical engineers and business stakeholders. Process Management : Experience in creating documentation, runbooks, and configuration management standards. B.S. in Computer Engineering, Electrical Engineering, or equivalent certifications/experience. We prefer: Network Automation: Experience with network automation tools (Ansible, Python, Terraform, etc.) to streamline operations. BGP & Routing: Practical experience establishing and troubleshooting BGP network peering and complex routing scenarios Travel Requirement: 20% Travel - Site Location, Ops support, Quarterly, Site visits etc; International travel based on business need. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000-$215,000 USD
Our customer, the Defense Information Systems Agency (DISA), provides, operates, and assures command and control of the Defense Information System Network (DISN) services to its customers, the department of Defense (DoD) and national security organizations. This position directly supports the DISA-provided capabilities and services. The Leidos Digital Modernization Sector/Global Solutions Management-Operations II (GSMO-II) contract has an opening for an Implementations/Activations Network Engineer at Scott AFB, IL. The Implementations Network Engineer will perform installation oversight, configuration, testing, monitoring, servicing of network equipment and activation of networks for projects supporting the Department of Defense networks. This position requires U.S. citizenship and an active Secret clearance. Responsible for performing the following duties: • Perform customer coordination, Initial Test and Acceptance (IT&A), execution of all reporting functions, and complete data input associated with new service activations to ensure they are implemented in accordance with Defense Information Systems Agency (DISA) standards • Work directly with customers, solution architects and vendor SMEs to implement changes and also identify, analyze, and resolve issues. • Manage Service Orders, in accordance with Change Management procedures • Ensure Telecommunication Service Orders (TSOs) are in place and accurate for scheduled network additions and changes • Initiate network device configurations using configlets • Analyze DISN and databases to validate and implement customer requirements • Design and implement solutions to highly technical problems through testing, documentation and modification of configurations on network devices • Coordinate and program customer circuit activation with commercial vendors to establish the engineered solution for end-to-end connectivity • Perform network monitoring to assess if deployed changes have caused impacts to customer traffic using provided expectations of traffic behavior, lessons learned, and customer reporting • Utilize systems analysis techniques and procedures, including consulting with users to determine hardware, software, or system functional requirements in support of customer resources. • Engage with the DISA project managers and/or customers to resolve issues with incomplete or unclear requirements. • Reach out to stakeholders and facilitate approvals as necessary to ensure continual forward progress of the service request. Basic Qualifications: • Proficient knowledge of various network hardware equipment specifications, configuration and testing processes, and industry specifications. • Knowledge of configuring, activating, testing, and analyzing network systems. • Network engineering, problem management, and performance management experience. • Understanding of basic telecommunications and information technology terms and technology. • Knowledge of data and voice network design carried over various transmissions systems, router to router connections using military and commercial protocols such as BGP and ISIS, switch-to-switch trunking to include VLANS, and circuit configurations through multiplexers. • Experience with network services (BGP, OSPF, DHCP, DNS, TCP/IP, WAN, VPN, VLAN, VRF, etc.) and network appliances (e.g., routers, load balancers, domain name servers, firewalls). • Ability to work in a team environment, but self-driven to complete assignments while continually developing proficiencies in processes. • Strong written and verbal communications, team building and collaboration skills. • An active Secret security clearance is required. • DoD-8570 IAT Level 2 baseline certification (Security+ CE or equivalent). Preferred Qualifications: • Prior experience at DISA, or knowledge of DISA systems and processes. • Prior experience with SharePoint data entry. • Experience performing customer outreach. • Experience with DISA Request Fulfillment process and associate documents (TSRs, TSOs, completion reports) and circulars experience. • Basic understanding of Department of Defense, its policies, and hierarchy. • Basic understanding of DISA organizational structure and how different elements (DITCO, etc.) contribute to fulfilling mission partner TSR requirements. • Network certifications: Cisco Certifications (CCNA, CCNP, etc.), Microsoft certifications (MCSE, etc.), security certifications (Security + CE, CISSP, etc.)- ITIL certification. Required Education and Experience: Requires BS degree and 2-4 years of prior relevant experience or Masters with less than 2 years of prior relevant experience. (Or equivalent combination of education and/or experience.) GSMO If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: July 6, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $59,150.00 - $106,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
09/23/2026
Full time
Our customer, the Defense Information Systems Agency (DISA), provides, operates, and assures command and control of the Defense Information System Network (DISN) services to its customers, the department of Defense (DoD) and national security organizations. This position directly supports the DISA-provided capabilities and services. The Leidos Digital Modernization Sector/Global Solutions Management-Operations II (GSMO-II) contract has an opening for an Implementations/Activations Network Engineer at Scott AFB, IL. The Implementations Network Engineer will perform installation oversight, configuration, testing, monitoring, servicing of network equipment and activation of networks for projects supporting the Department of Defense networks. This position requires U.S. citizenship and an active Secret clearance. Responsible for performing the following duties: • Perform customer coordination, Initial Test and Acceptance (IT&A), execution of all reporting functions, and complete data input associated with new service activations to ensure they are implemented in accordance with Defense Information Systems Agency (DISA) standards • Work directly with customers, solution architects and vendor SMEs to implement changes and also identify, analyze, and resolve issues. • Manage Service Orders, in accordance with Change Management procedures • Ensure Telecommunication Service Orders (TSOs) are in place and accurate for scheduled network additions and changes • Initiate network device configurations using configlets • Analyze DISN and databases to validate and implement customer requirements • Design and implement solutions to highly technical problems through testing, documentation and modification of configurations on network devices • Coordinate and program customer circuit activation with commercial vendors to establish the engineered solution for end-to-end connectivity • Perform network monitoring to assess if deployed changes have caused impacts to customer traffic using provided expectations of traffic behavior, lessons learned, and customer reporting • Utilize systems analysis techniques and procedures, including consulting with users to determine hardware, software, or system functional requirements in support of customer resources. • Engage with the DISA project managers and/or customers to resolve issues with incomplete or unclear requirements. • Reach out to stakeholders and facilitate approvals as necessary to ensure continual forward progress of the service request. Basic Qualifications: • Proficient knowledge of various network hardware equipment specifications, configuration and testing processes, and industry specifications. • Knowledge of configuring, activating, testing, and analyzing network systems. • Network engineering, problem management, and performance management experience. • Understanding of basic telecommunications and information technology terms and technology. • Knowledge of data and voice network design carried over various transmissions systems, router to router connections using military and commercial protocols such as BGP and ISIS, switch-to-switch trunking to include VLANS, and circuit configurations through multiplexers. • Experience with network services (BGP, OSPF, DHCP, DNS, TCP/IP, WAN, VPN, VLAN, VRF, etc.) and network appliances (e.g., routers, load balancers, domain name servers, firewalls). • Ability to work in a team environment, but self-driven to complete assignments while continually developing proficiencies in processes. • Strong written and verbal communications, team building and collaboration skills. • An active Secret security clearance is required. • DoD-8570 IAT Level 2 baseline certification (Security+ CE or equivalent). Preferred Qualifications: • Prior experience at DISA, or knowledge of DISA systems and processes. • Prior experience with SharePoint data entry. • Experience performing customer outreach. • Experience with DISA Request Fulfillment process and associate documents (TSRs, TSOs, completion reports) and circulars experience. • Basic understanding of Department of Defense, its policies, and hierarchy. • Basic understanding of DISA organizational structure and how different elements (DITCO, etc.) contribute to fulfilling mission partner TSR requirements. • Network certifications: Cisco Certifications (CCNA, CCNP, etc.), Microsoft certifications (MCSE, etc.), security certifications (Security + CE, CISSP, etc.)- ITIL certification. Required Education and Experience: Requires BS degree and 2-4 years of prior relevant experience or Masters with less than 2 years of prior relevant experience. (Or equivalent combination of education and/or experience.) GSMO If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: July 6, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $59,150.00 - $106,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you're passionate about developing your career, while helping others along the way, come join the Broadridge team. Broadridge is Growing! We are seeking an AI Prompt Engineer to join a stellar team on contract basis. The AI Prompt Engineer will design, develop, test, and optimize prompts, workflows, and AI-assisted solutions for enterprise applications and internal business use cases. This role will work closely with software engineers, product owners, business stakeholders, quality assurance teams, and data/AI teams to build reliable, secure, and scalable AI-enabled capabilities. Work Mode: We are made up of high performing teams that meet in person to learn and collaborate as needed. This role is considered hybrid, which means you'll be coming into the office 2 days a week and given the flexibility to work remotely the rest of the time. Responsibilities: Design, develop, test, debug, and implement prompts, prompt templates, AI workflows, and automation patterns for existing and new applications or systems. Analyze project requirements and translate business needs into effective AI interaction patterns, prompt strategies, and technical specifications. Develop and maintain reusable prompt libraries, evaluation criteria, and documentation for AI-assisted solutions. Perform prompt testing, regression testing, and quality evaluation to ensure AI outputs are accurate, consistent, safe, and aligned with business requirements. Work with users, software engineers, QA, and product teams to validate AI-generated outputs and resolve reported defects, inaccuracies, or usability issues. Partner with application development teams to integrate prompts and AI capabilities into enterprise systems, APIs, workflows, and user experiences. Evaluate AI model behavior across different use cases, including summarization, classification, content generation, code assistance, data extraction, workflow automation, and knowledge retrieval. Apply prompt engineering techniques such as role prompting, structured output design, few-shot examples, chain-of-thought alternatives, tool-use prompting, retrieval-augmented generation patterns, and guardrail design. Support the development of AI governance practices, including responsible AI usage, data privacy considerations, prompt safety, output validation, and compliance with enterprise policies. Create system documentation, user guidance, prompt usage instructions, and training materials for business and technical users. Assist with defining project requirements, acceptance criteria, success metrics, and evaluation benchmarks for AI-enabled features. Monitor prompt and workflow performance in production and recommend improvements based on user feedback, quality metrics, and model behavior. Collaborate with engineering teams on version control, release management, testing automation, and continuous improvement of AI solutions. Mentor junior team members and help establish best practices for prompt design, AI solution testing, and responsible AI adoption. Lead small project teams or workstreams focused on AI solution design, prompt optimization, or AI-assisted application features. Qualifications: Bachelor of Science in Computer Science, Data Science, Information Systems, Engineering, or equivalent education and experience. 6+ years of experience in software development, application systems, data solutions, AI implementation, automation, or related technical environments. Hands-on experience designing, testing, and improving prompts for large language models or generative AI tools. Experience with Java, SQL, Python, JavaScript/TypeScript, or similar programming and scripting languages. Experience working with APIs, JSON, structured outputs, application integrations, and enterprise software development practices. Familiarity with AI concepts such as large language models, embeddings, retrieval-augmented generation, vector search, model evaluation, grounding, hallucination reduction, and prompt safety. Experience with databases and data platforms such as Oracle, PostgreSQL, Snowflake, or similar technologies. Experience with development tools and environments such as GitLab, Jenkins, Windows, Linux, application servers, and CI/CD pipelines. Experience in SDLC development methodologies, including Agile. Strong analytical, troubleshooting, and problem-solving skills with the ability to evaluate AI output quality and identify root causes of poor results. Strong written communication skills with the ability to create clear prompts, documentation, requirements, and user-facing instructions. Experience collaborating with cross-functional teams, including business users, QA, developers, architects, product owners, and security or compliance partners. Experience mentoring members of development or technical teams. Preferred Skills Experience with enterprise AI platforms, model providers, or internal AI tooling. Experience with prompt evaluation frameworks, automated testing of AI outputs, or model performance benchmarking. Experience designing prompts for secure enterprise use cases involving sensitive, confidential, or regulated information. Knowledge of responsible AI practices, data protection, information security, and AI governance principles. Experience with knowledge management systems, search technologies, vector databases, or retrieval-augmented generation solutions. Experience building AI assistants, chatbots, agentic workflows, document analysis tools, or developer productivity solutions. Hourly range $70-85/hr Broadridge considers various factors when evaluating a candidate's final salary including, but not limited to, relevant experience, skills, and education. We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company-and ultimately a community-that recognizes and celebrates everyone's unique perspective. Use of AI in Hiring As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration. US applicants: Click here to view the EEOC "Know Your Rights" poster. Disability Assistance We recognize that ensuring our long-term success means creating an environment where everyone is welcome, where everyone's strengths are valued, and where everyone can perform at their best. Broadridge provides equal employment opportunities to all associates and applicants for employment without regard to race, color, religion, sex (including sexual orientation, gender identity or expression, and pregnancy), marital status, national origin, ethnic origin, age, disability, genetic information, military or veteran status, and other protected characteristics protected by applicable federal, state, or local laws. If you need assistance or would like to request reasonable accommodations during the application and/or hiring process, please contact us at or by sending an email to .
09/23/2026
Full time
At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you're passionate about developing your career, while helping others along the way, come join the Broadridge team. Broadridge is Growing! We are seeking an AI Prompt Engineer to join a stellar team on contract basis. The AI Prompt Engineer will design, develop, test, and optimize prompts, workflows, and AI-assisted solutions for enterprise applications and internal business use cases. This role will work closely with software engineers, product owners, business stakeholders, quality assurance teams, and data/AI teams to build reliable, secure, and scalable AI-enabled capabilities. Work Mode: We are made up of high performing teams that meet in person to learn and collaborate as needed. This role is considered hybrid, which means you'll be coming into the office 2 days a week and given the flexibility to work remotely the rest of the time. Responsibilities: Design, develop, test, debug, and implement prompts, prompt templates, AI workflows, and automation patterns for existing and new applications or systems. Analyze project requirements and translate business needs into effective AI interaction patterns, prompt strategies, and technical specifications. Develop and maintain reusable prompt libraries, evaluation criteria, and documentation for AI-assisted solutions. Perform prompt testing, regression testing, and quality evaluation to ensure AI outputs are accurate, consistent, safe, and aligned with business requirements. Work with users, software engineers, QA, and product teams to validate AI-generated outputs and resolve reported defects, inaccuracies, or usability issues. Partner with application development teams to integrate prompts and AI capabilities into enterprise systems, APIs, workflows, and user experiences. Evaluate AI model behavior across different use cases, including summarization, classification, content generation, code assistance, data extraction, workflow automation, and knowledge retrieval. Apply prompt engineering techniques such as role prompting, structured output design, few-shot examples, chain-of-thought alternatives, tool-use prompting, retrieval-augmented generation patterns, and guardrail design. Support the development of AI governance practices, including responsible AI usage, data privacy considerations, prompt safety, output validation, and compliance with enterprise policies. Create system documentation, user guidance, prompt usage instructions, and training materials for business and technical users. Assist with defining project requirements, acceptance criteria, success metrics, and evaluation benchmarks for AI-enabled features. Monitor prompt and workflow performance in production and recommend improvements based on user feedback, quality metrics, and model behavior. Collaborate with engineering teams on version control, release management, testing automation, and continuous improvement of AI solutions. Mentor junior team members and help establish best practices for prompt design, AI solution testing, and responsible AI adoption. Lead small project teams or workstreams focused on AI solution design, prompt optimization, or AI-assisted application features. Qualifications: Bachelor of Science in Computer Science, Data Science, Information Systems, Engineering, or equivalent education and experience. 6+ years of experience in software development, application systems, data solutions, AI implementation, automation, or related technical environments. Hands-on experience designing, testing, and improving prompts for large language models or generative AI tools. Experience with Java, SQL, Python, JavaScript/TypeScript, or similar programming and scripting languages. Experience working with APIs, JSON, structured outputs, application integrations, and enterprise software development practices. Familiarity with AI concepts such as large language models, embeddings, retrieval-augmented generation, vector search, model evaluation, grounding, hallucination reduction, and prompt safety. Experience with databases and data platforms such as Oracle, PostgreSQL, Snowflake, or similar technologies. Experience with development tools and environments such as GitLab, Jenkins, Windows, Linux, application servers, and CI/CD pipelines. Experience in SDLC development methodologies, including Agile. Strong analytical, troubleshooting, and problem-solving skills with the ability to evaluate AI output quality and identify root causes of poor results. Strong written communication skills with the ability to create clear prompts, documentation, requirements, and user-facing instructions. Experience collaborating with cross-functional teams, including business users, QA, developers, architects, product owners, and security or compliance partners. Experience mentoring members of development or technical teams. Preferred Skills Experience with enterprise AI platforms, model providers, or internal AI tooling. Experience with prompt evaluation frameworks, automated testing of AI outputs, or model performance benchmarking. Experience designing prompts for secure enterprise use cases involving sensitive, confidential, or regulated information. Knowledge of responsible AI practices, data protection, information security, and AI governance principles. Experience with knowledge management systems, search technologies, vector databases, or retrieval-augmented generation solutions. Experience building AI assistants, chatbots, agentic workflows, document analysis tools, or developer productivity solutions. Hourly range $70-85/hr Broadridge considers various factors when evaluating a candidate's final salary including, but not limited to, relevant experience, skills, and education. We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company-and ultimately a community-that recognizes and celebrates everyone's unique perspective. Use of AI in Hiring As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration. US applicants: Click here to view the EEOC "Know Your Rights" poster. Disability Assistance We recognize that ensuring our long-term success means creating an environment where everyone is welcome, where everyone's strengths are valued, and where everyone can perform at their best. Broadridge provides equal employment opportunities to all associates and applicants for employment without regard to race, color, religion, sex (including sexual orientation, gender identity or expression, and pregnancy), marital status, national origin, ethnic origin, age, disability, genetic information, military or veteran status, and other protected characteristics protected by applicable federal, state, or local laws. If you need assistance or would like to request reasonable accommodations during the application and/or hiring process, please contact us at or by sending an email to .
At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you're passionate about developing your career, while helping others along the way, come join the Broadridge team. Broadridge is Growing! We are seeking an AI Prompt Engineer to join a stellar team on contract basis. The AI Prompt Engineer will design, develop, test, and optimize prompts, workflows, and AI-assisted solutions for enterprise applications and internal business use cases. This role will work closely with software engineers, product owners, business stakeholders, quality assurance teams, and data/AI teams to build reliable, secure, and scalable AI-enabled capabilities. Work Mode: We are made up of high performing teams that meet in person to learn and collaborate as needed. This role is considered hybrid, which means you'll be coming into the office 2 days a week and given the flexibility to work remotely the rest of the time. Responsibilities: Design, develop, test, debug, and implement prompts, prompt templates, AI workflows, and automation patterns for existing and new applications or systems. Analyze project requirements and translate business needs into effective AI interaction patterns, prompt strategies, and technical specifications. Develop and maintain reusable prompt libraries, evaluation criteria, and documentation for AI-assisted solutions. Perform prompt testing, regression testing, and quality evaluation to ensure AI outputs are accurate, consistent, safe, and aligned with business requirements. Work with users, software engineers, QA, and product teams to validate AI-generated outputs and resolve reported defects, inaccuracies, or usability issues. Partner with application development teams to integrate prompts and AI capabilities into enterprise systems, APIs, workflows, and user experiences. Evaluate AI model behavior across different use cases, including summarization, classification, content generation, code assistance, data extraction, workflow automation, and knowledge retrieval. Apply prompt engineering techniques such as role prompting, structured output design, few-shot examples, chain-of-thought alternatives, tool-use prompting, retrieval-augmented generation patterns, and guardrail design. Support the development of AI governance practices, including responsible AI usage, data privacy considerations, prompt safety, output validation, and compliance with enterprise policies. Create system documentation, user guidance, prompt usage instructions, and training materials for business and technical users. Assist with defining project requirements, acceptance criteria, success metrics, and evaluation benchmarks for AI-enabled features. Monitor prompt and workflow performance in production and recommend improvements based on user feedback, quality metrics, and model behavior. Collaborate with engineering teams on version control, release management, testing automation, and continuous improvement of AI solutions. Mentor junior team members and help establish best practices for prompt design, AI solution testing, and responsible AI adoption. Lead small project teams or workstreams focused on AI solution design, prompt optimization, or AI-assisted application features. Qualifications: Bachelor of Science in Computer Science, Data Science, Information Systems, Engineering, or equivalent education and experience. 6+ years of experience in software development, application systems, data solutions, AI implementation, automation, or related technical environments. Hands-on experience designing, testing, and improving prompts for large language models or generative AI tools. Experience with Java, SQL, Python, JavaScript/TypeScript, or similar programming and scripting languages. Experience working with APIs, JSON, structured outputs, application integrations, and enterprise software development practices. Familiarity with AI concepts such as large language models, embeddings, retrieval-augmented generation, vector search, model evaluation, grounding, hallucination reduction, and prompt safety. Experience with databases and data platforms such as Oracle, PostgreSQL, Snowflake, or similar technologies. Experience with development tools and environments such as GitLab, Jenkins, Windows, Linux, application servers, and CI/CD pipelines. Experience in SDLC development methodologies, including Agile. Strong analytical, troubleshooting, and problem-solving skills with the ability to evaluate AI output quality and identify root causes of poor results. Strong written communication skills with the ability to create clear prompts, documentation, requirements, and user-facing instructions. Experience collaborating with cross-functional teams, including business users, QA, developers, architects, product owners, and security or compliance partners. Experience mentoring members of development or technical teams. Preferred Skills Experience with enterprise AI platforms, model providers, or internal AI tooling. Experience with prompt evaluation frameworks, automated testing of AI outputs, or model performance benchmarking. Experience designing prompts for secure enterprise use cases involving sensitive, confidential, or regulated information. Knowledge of responsible AI practices, data protection, information security, and AI governance principles. Experience with knowledge management systems, search technologies, vector databases, or retrieval-augmented generation solutions. Experience building AI assistants, chatbots, agentic workflows, document analysis tools, or developer productivity solutions. Hourly range $70-85/hr Broadridge considers various factors when evaluating a candidate's final salary including, but not limited to, relevant experience, skills, and education. We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company-and ultimately a community-that recognizes and celebrates everyone's unique perspective. Use of AI in Hiring As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration. US applicants: Click here to view the EEOC "Know Your Rights" poster. Disability Assistance We recognize that ensuring our long-term success means creating an environment where everyone is welcome, where everyone's strengths are valued, and where everyone can perform at their best. Broadridge provides equal employment opportunities to all associates and applicants for employment without regard to race, color, religion, sex (including sexual orientation, gender identity or expression, and pregnancy), marital status, national origin, ethnic origin, age, disability, genetic information, military or veteran status, and other protected characteristics protected by applicable federal, state, or local laws. If you need assistance or would like to request reasonable accommodations during the application and/or hiring process, please contact us at or by sending an email to .
09/23/2026
Full time
At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you're passionate about developing your career, while helping others along the way, come join the Broadridge team. Broadridge is Growing! We are seeking an AI Prompt Engineer to join a stellar team on contract basis. The AI Prompt Engineer will design, develop, test, and optimize prompts, workflows, and AI-assisted solutions for enterprise applications and internal business use cases. This role will work closely with software engineers, product owners, business stakeholders, quality assurance teams, and data/AI teams to build reliable, secure, and scalable AI-enabled capabilities. Work Mode: We are made up of high performing teams that meet in person to learn and collaborate as needed. This role is considered hybrid, which means you'll be coming into the office 2 days a week and given the flexibility to work remotely the rest of the time. Responsibilities: Design, develop, test, debug, and implement prompts, prompt templates, AI workflows, and automation patterns for existing and new applications or systems. Analyze project requirements and translate business needs into effective AI interaction patterns, prompt strategies, and technical specifications. Develop and maintain reusable prompt libraries, evaluation criteria, and documentation for AI-assisted solutions. Perform prompt testing, regression testing, and quality evaluation to ensure AI outputs are accurate, consistent, safe, and aligned with business requirements. Work with users, software engineers, QA, and product teams to validate AI-generated outputs and resolve reported defects, inaccuracies, or usability issues. Partner with application development teams to integrate prompts and AI capabilities into enterprise systems, APIs, workflows, and user experiences. Evaluate AI model behavior across different use cases, including summarization, classification, content generation, code assistance, data extraction, workflow automation, and knowledge retrieval. Apply prompt engineering techniques such as role prompting, structured output design, few-shot examples, chain-of-thought alternatives, tool-use prompting, retrieval-augmented generation patterns, and guardrail design. Support the development of AI governance practices, including responsible AI usage, data privacy considerations, prompt safety, output validation, and compliance with enterprise policies. Create system documentation, user guidance, prompt usage instructions, and training materials for business and technical users. Assist with defining project requirements, acceptance criteria, success metrics, and evaluation benchmarks for AI-enabled features. Monitor prompt and workflow performance in production and recommend improvements based on user feedback, quality metrics, and model behavior. Collaborate with engineering teams on version control, release management, testing automation, and continuous improvement of AI solutions. Mentor junior team members and help establish best practices for prompt design, AI solution testing, and responsible AI adoption. Lead small project teams or workstreams focused on AI solution design, prompt optimization, or AI-assisted application features. Qualifications: Bachelor of Science in Computer Science, Data Science, Information Systems, Engineering, or equivalent education and experience. 6+ years of experience in software development, application systems, data solutions, AI implementation, automation, or related technical environments. Hands-on experience designing, testing, and improving prompts for large language models or generative AI tools. Experience with Java, SQL, Python, JavaScript/TypeScript, or similar programming and scripting languages. Experience working with APIs, JSON, structured outputs, application integrations, and enterprise software development practices. Familiarity with AI concepts such as large language models, embeddings, retrieval-augmented generation, vector search, model evaluation, grounding, hallucination reduction, and prompt safety. Experience with databases and data platforms such as Oracle, PostgreSQL, Snowflake, or similar technologies. Experience with development tools and environments such as GitLab, Jenkins, Windows, Linux, application servers, and CI/CD pipelines. Experience in SDLC development methodologies, including Agile. Strong analytical, troubleshooting, and problem-solving skills with the ability to evaluate AI output quality and identify root causes of poor results. Strong written communication skills with the ability to create clear prompts, documentation, requirements, and user-facing instructions. Experience collaborating with cross-functional teams, including business users, QA, developers, architects, product owners, and security or compliance partners. Experience mentoring members of development or technical teams. Preferred Skills Experience with enterprise AI platforms, model providers, or internal AI tooling. Experience with prompt evaluation frameworks, automated testing of AI outputs, or model performance benchmarking. Experience designing prompts for secure enterprise use cases involving sensitive, confidential, or regulated information. Knowledge of responsible AI practices, data protection, information security, and AI governance principles. Experience with knowledge management systems, search technologies, vector databases, or retrieval-augmented generation solutions. Experience building AI assistants, chatbots, agentic workflows, document analysis tools, or developer productivity solutions. Hourly range $70-85/hr Broadridge considers various factors when evaluating a candidate's final salary including, but not limited to, relevant experience, skills, and education. We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company-and ultimately a community-that recognizes and celebrates everyone's unique perspective. Use of AI in Hiring As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration. US applicants: Click here to view the EEOC "Know Your Rights" poster. Disability Assistance We recognize that ensuring our long-term success means creating an environment where everyone is welcome, where everyone's strengths are valued, and where everyone can perform at their best. Broadridge provides equal employment opportunities to all associates and applicants for employment without regard to race, color, religion, sex (including sexual orientation, gender identity or expression, and pregnancy), marital status, national origin, ethnic origin, age, disability, genetic information, military or veteran status, and other protected characteristics protected by applicable federal, state, or local laws. If you need assistance or would like to request reasonable accommodations during the application and/or hiring process, please contact us at or by sending an email to .
Lead Software Engineer (Go, AWS) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 4 years of experience in software engineering (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service 4+ years of experience in open source frameworks 1+ years of people management experience 2+ years of experience in Agile practices Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/23/2026
Full time
Lead Software Engineer (Go, AWS) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 4 years of experience in software engineering (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service 4+ years of experience in open source frameworks 1+ years of people management experience 2+ years of experience in Agile practices Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Our customer, the Defense Information Systems Agency (DISA), provides, operates, and assures command and control of the Defense Information System Network (DISN) services to its customers, the department of Defense (DoD) and national security organizations. This position directly supports the DISA-provided capabilities and services. The Leidos Digital Modernization Sector/Global Solutions Management-Operations II (GSMO-II) contract has an opening for an Implementations/Activations Network Engineer at Scott AFB, IL. The Implementations Network Engineer will perform installation oversight, configuration, testing, monitoring, servicing of network equipment and activation of networks for projects supporting the Department of Defense networks. This position requires U.S. citizenship and an active Secret clearance. Responsible for performing the following duties: • Perform customer coordination, Initial Test and Acceptance (IT&A), execution of all reporting functions, and complete data input associated with new service activations to ensure they are implemented in accordance with Defense Information Systems Agency (DISA) standards • Work directly with customers, solution architects and vendor SMEs to implement changes and also identify, analyze, and resolve issues. • Manage Service Orders, in accordance with Change Management procedures • Ensure Telecommunication Service Orders (TSOs) are in place and accurate for scheduled network additions and changes • Initiate network device configurations using configlets • Analyze DISN and databases to validate and implement customer requirements • Design and implement solutions to highly technical problems through testing, documentation and modification of configurations on network devices • Coordinate and program customer circuit activation with commercial vendors to establish the engineered solution for end-to-end connectivity • Perform network monitoring to assess if deployed changes have caused impacts to customer traffic using provided expectations of traffic behavior, lessons learned, and customer reporting • Utilize systems analysis techniques and procedures, including consulting with users to determine hardware, software, or system functional requirements in support of customer resources. • Engage with the DISA project managers and/or customers to resolve issues with incomplete or unclear requirements. • Reach out to stakeholders and facilitate approvals as necessary to ensure continual forward progress of the service request. Basic Qualifications: • Proficient knowledge of various network hardware equipment specifications, configuration and testing processes, and industry specifications. • Knowledge of configuring, activating, testing, and analyzing network systems. • Network engineering, problem management, and performance management experience. • Understanding of basic telecommunications and information technology terms and technology. • Knowledge of data and voice network design carried over various transmissions systems, router to router connections using military and commercial protocols such as BGP and ISIS, switch-to-switch trunking to include VLANS, and circuit configurations through multiplexers. • Experience with network services (BGP, OSPF, DHCP, DNS, TCP/IP, WAN, VPN, VLAN, VRF, etc.) and network appliances (e.g., routers, load balancers, domain name servers, firewalls). • Ability to work in a team environment, but self-driven to complete assignments while continually developing proficiencies in processes. • Strong written and verbal communications, team building and collaboration skills. • An active Secret security clearance is required. • DoD-8570 IAT Level 2 baseline certification (Security+ CE or equivalent). Preferred Qualifications: • Prior experience at DISA, or knowledge of DISA systems and processes. • Prior experience with SharePoint data entry. • Experience performing customer outreach. • Experience with DISA Request Fulfillment process and associate documents (TSRs, TSOs, completion reports) and circulars experience. • Basic understanding of Department of Defense, its policies, and hierarchy. • Basic understanding of DISA organizational structure and how different elements (DITCO, etc.) contribute to fulfilling mission partner TSR requirements. • Network certifications: Cisco Certifications (CCNA, CCNP, etc.), Microsoft certifications (MCSE, etc.), security certifications (Security + CE, CISSP, etc.)- ITIL certification. Required Education and Experience: Requires BS degree and 2-4 years of prior relevant experience or Masters with less than 2 years of prior relevant experience. (Or equivalent combination of education and/or experience.) GSMO If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: July 6, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $59,150.00 - $106,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
09/23/2026
Full time
Our customer, the Defense Information Systems Agency (DISA), provides, operates, and assures command and control of the Defense Information System Network (DISN) services to its customers, the department of Defense (DoD) and national security organizations. This position directly supports the DISA-provided capabilities and services. The Leidos Digital Modernization Sector/Global Solutions Management-Operations II (GSMO-II) contract has an opening for an Implementations/Activations Network Engineer at Scott AFB, IL. The Implementations Network Engineer will perform installation oversight, configuration, testing, monitoring, servicing of network equipment and activation of networks for projects supporting the Department of Defense networks. This position requires U.S. citizenship and an active Secret clearance. Responsible for performing the following duties: • Perform customer coordination, Initial Test and Acceptance (IT&A), execution of all reporting functions, and complete data input associated with new service activations to ensure they are implemented in accordance with Defense Information Systems Agency (DISA) standards • Work directly with customers, solution architects and vendor SMEs to implement changes and also identify, analyze, and resolve issues. • Manage Service Orders, in accordance with Change Management procedures • Ensure Telecommunication Service Orders (TSOs) are in place and accurate for scheduled network additions and changes • Initiate network device configurations using configlets • Analyze DISN and databases to validate and implement customer requirements • Design and implement solutions to highly technical problems through testing, documentation and modification of configurations on network devices • Coordinate and program customer circuit activation with commercial vendors to establish the engineered solution for end-to-end connectivity • Perform network monitoring to assess if deployed changes have caused impacts to customer traffic using provided expectations of traffic behavior, lessons learned, and customer reporting • Utilize systems analysis techniques and procedures, including consulting with users to determine hardware, software, or system functional requirements in support of customer resources. • Engage with the DISA project managers and/or customers to resolve issues with incomplete or unclear requirements. • Reach out to stakeholders and facilitate approvals as necessary to ensure continual forward progress of the service request. Basic Qualifications: • Proficient knowledge of various network hardware equipment specifications, configuration and testing processes, and industry specifications. • Knowledge of configuring, activating, testing, and analyzing network systems. • Network engineering, problem management, and performance management experience. • Understanding of basic telecommunications and information technology terms and technology. • Knowledge of data and voice network design carried over various transmissions systems, router to router connections using military and commercial protocols such as BGP and ISIS, switch-to-switch trunking to include VLANS, and circuit configurations through multiplexers. • Experience with network services (BGP, OSPF, DHCP, DNS, TCP/IP, WAN, VPN, VLAN, VRF, etc.) and network appliances (e.g., routers, load balancers, domain name servers, firewalls). • Ability to work in a team environment, but self-driven to complete assignments while continually developing proficiencies in processes. • Strong written and verbal communications, team building and collaboration skills. • An active Secret security clearance is required. • DoD-8570 IAT Level 2 baseline certification (Security+ CE or equivalent). Preferred Qualifications: • Prior experience at DISA, or knowledge of DISA systems and processes. • Prior experience with SharePoint data entry. • Experience performing customer outreach. • Experience with DISA Request Fulfillment process and associate documents (TSRs, TSOs, completion reports) and circulars experience. • Basic understanding of Department of Defense, its policies, and hierarchy. • Basic understanding of DISA organizational structure and how different elements (DITCO, etc.) contribute to fulfilling mission partner TSR requirements. • Network certifications: Cisco Certifications (CCNA, CCNP, etc.), Microsoft certifications (MCSE, etc.), security certifications (Security + CE, CISSP, etc.)- ITIL certification. Required Education and Experience: Requires BS degree and 2-4 years of prior relevant experience or Masters with less than 2 years of prior relevant experience. (Or equivalent combination of education and/or experience.) GSMO If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: July 6, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $59,150.00 - $106,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
